Job Title | Location | Description | Posted** |
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Financial Support (Remote from uk)
HR Ways |
Remote United Kingdom
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About the job Financial Support (Remote from uk) Client Introduction: Where Technology Meets Purpose Job Summary: We are looking for a highly skilled and detail-oriented Financial Support Specialist to join our remote finance team supporting BAE Systems. The ideal candidate will have solid experience in SAP systems (Ariba Fiori CERPS) excellent Excel skills and a strong understanding of international currencies and project finance. This role requires financial business partnering experience hands-on transaction processing reporting and project accounting. Key Responsibilities: Process monthly transactions period-end close and financial reporting/forecasting Customer sales invoicing AR management credit control and customer query resolution Manage AP payment runs and employee expenses Weekly and monthly cashflow reporting and forecasting Bank reconciliations and cashbook postings (UK & FX currencies) Act as Finance Business Partner to Workplace Services within BAE Systems RES Line management of one Project Accountant Lead transaction processing journal entries and month-end close activities Prepare and review phased budgets and Integrated Business Plans (IBP) Ensure compliance with internal financial control frameworks and corporate governance Serve as SAP Project Accounting SME for the EITS to FS SAP Transition Project Support the Finance Team post-SAP implementation including close budgeting and IBP Finance Business Partner support for Applied Intelligence and Nightworks business units. Project accounting oversight for 4065 live projects (MOD-related) Prepare and review Contract Status Reports (CSR) and Summary Status Reports (SSR) Manage a small finance team: 1 Project Accountant 2 Finance Assistants Participate in the Shared Services Senior Finance Team and report to the Finance Director Support long-term financial planning (5-Year IBP) and lead regular forecast reviews. Provide financial guidance for project delivery and new business opportunities Assist with pricing and costing models for bids support commercial team on RFBA (Request for Bid Approval) preparations Contribute to monthly financial reporting processes including risk and opportunity assessments (Os & Vs) Must-Have Skills: Strong experience with SAP (Ariba Fiori CERPS) especially in transaction reporting Comfortable working with international currencies Advanced Excel skills (formulas pivot tables financial modeling) Proven experience in project finance support and financial business partnering Working Conditions: Fully remote role (based in the UK) Must have a reliable internet connection and remote work setup Other Details: Employment Type: Contractual Experience: 7+ Years Work Mode: Remote Location: UK About HR Ways: HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai Canada US UK Pakistan India Saudi Arabia Portugal Brazil and other parts of the world. Join our Whatsapp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more. Design and implement Graph Neural Network (GNN) architectures for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train fine-tune and deploy ML/DL models using TensorFlow PyTorch JAX or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations A/B testing and hyperparameter tuning for optimal performance. Build reusable pipelines and tools for ML training deployment and monitoring on GCP. Engage directly with customer technical teams to understand business needs and translate them into ML solutions. Produce technical documentation and presentations for internal and customer-facing stakeholders. Required Qualifications: Bachelors degree in computer science Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification 7+ years in a customer facing role working with enterprise clients 4+ years of experience working in enterprise data warehouse and analytics technologies Hands-on experience building and training machine learning models. Experience writing software in one or more languages such as Python Scala R or similar with strong competencies in data structures algorithms and software design. Experience working with recommendation engines data pipelines or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow Keras Torch Caffe Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow PyTorch or JAX. Knowledge of data analytics concepts including data warehouse technical architectures ETL and reporting/analytic tools and environments (such as Apache Beam Hadoop Spark Pig Hive MapReduce Flume). Customer facing experience of discovery assessment execution and operations. Demonstrated excellent communication presentation and problem solving skills. Experience in project governance and enterprise customer management. Proficiency in building Graph Neural Networks (GNNs) using frameworks like DGL PyTorch Geometric or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI BigQuery and Dataflow. Strong problem-solving and communication skills including the ability to work with clients and cross-functional teams. Preferred to Have: PhD in Computer Science AI/ML or related field. Experience with production ML systems and MLOps pipelines using Kubeflow or Vertex AI Pipelines. Knowledge of transformers and large language models (LLMs). Understanding of recommender systems natural language processing or graph-based search engines. Contributions to open-source ML libraries or published research in AI/ML. Other Details: Work Mode: Remote from anywhere in UK Working Timings: 6 Hours Experience: 7+ Years About HR Ways: HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai Canada US UK Pakistan India Saudi Arabia Portugal Brazil and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983azto stay updated or visit www.hrways.co to know more. Job Type: Full-time Pay: £350.00 per day Work Location: Remote
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AI/Machine Learning Engineer Sr Staff (Signal Processing)
Lockheed Martin |
Fort Worth, TX
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Job ID: 701884BR Date posted: Aug. 25 2025 Description: Are you ready to join a team of innovators and play a critical role in shaping the future of Artificial Intelligence? We're seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team you'll have the opportunity to work on high-impact projects develop and apply cutting-edge AI technologies and collaborate with cross-functional teams to drive innovation and experimentation. What you'll be doing: Develop and apply current AI paradigms including computer vision deep learning and reinforcement learning to solve complex signal processing problems and field innovative solutions. Engage in every phase of the system development lifecycle including requirements generation system and software design implementation integration and flight test. Take ownership of critical tasks and lead technical teams to deliver high-quality solutions. Participate in the development of proposals and whitepapers to secure funding for AI research and development projects. Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise. Work collaboratively with cross-functional teams to develop and deploy AI solutions. Communicate complex technical concepts and solutions to non-technical stakeholders. What's In It For You: From onsite to remote we offer flexible work schedules to comprehensive benefits investing in your future and security Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big lead with a growth mindset and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big work hard and have fun doing what you love then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced Artificial Intelligence Engineer with: A strong background in software engineering artificial intelligence and machine learning. A strong background in signal processing theory and application (radar communication electronic warfare sonar audio or biomedical). Experience with current AI paradigms including computer vision deep learning and reinforcement learning. Proficiency in programming languages such as Python Java or C++. Self-motivation strong work ethic and time management skills. Excellent interpersonal and communication skills. A Bachelor's degree in a relevant field such as computer science electrical engineering or mathematics. 5+ years of experience in AI or a related field. Work Location: The preferred work locations for this position are Lockheed Martin facilities in Moorestown NJ Valley Forge PA Littleton CO Fort Worth TX Liverpool NY Owego NY and Shelton CT. Remote work arrangements may also be considered for qualified candidates. #LMLAIC Basic Qualifications: Bachelor's Degree in Engineering Computer Science or other related discipline Experience developing with machine learning frameworks (Pytorch Tensorflow MxNet Caffe Keras etc.) Experience with Python and multiple libraries (NumPy OpenCV Scikit Pandas SciPy etc.) Experience with machine learning and deep learning for signal processing applications such as radar communication electronic warfare sonar audio or biomedical Broad experience in the application and state of AI across multiple lines of business and customer programs in a large enterprise or government position Desired Skills: Master's Degree in Engineering Computer Science or other related discipline with a specialization in Artificial Intelligence Experience applying AI/ML to mature complex software systems Experience with RF signal processing Experience with analog and digital signal processing Experience working on radar communication electronic warfare sonar systems Experience with multiple sensing modalities including full motion video in EO and IR passive and active radio frequency Synthetic Aperture Radar (SAR) and state of the art novel sensing techniques Familiarity with software defined radios Experience developing and presenting briefs for government agencies Experience developing proposals and whitepapers Experience with DevOps tools: Docker Git [GitLab GitHub] Continuous Integration [CI] Continuous Deployment [CD] unit testing frameworks (e.g. Pytest Unittest) Experience with C++ Java and other compiled languages Active US DoD security clearance Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day 3 days off per week Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas) Colorado Hawaii Illinois Maryland Minnesota New Jersey Vermont Washington or Washington DC is $150800 - $265880. For states not referenced above the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position candidate's work experience education/ training key skills as well as market and business considerations when extending an offer. Benefits offered: Medical Dental Vision Life Insurance Short-Term Disability Long-Term Disability 401(k) match Flexible Spending Accounts EAP Education Assistance Parental Leave Paid time off and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month accrue up to 52 hours of sick leave annually receive at least 96 hours for holidays. PTO Vacation sick leave and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $173400 - $300495. For states not referenced above the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position candidate's work experience education/ training key skills as well as market and business considerations when extending an offer. Benefits offered: Medical Dental Vision Life Insurance Short-Term Disability Long-Term Disability 401(k) match Flexible Spending Accounts EAP Education Assistance Parental Leave Paid time off and Holidays. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company 's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. has employees based in many states throughout the U.S. and Internationally with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First
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AI/Machine Learning Engineer Staff (Signal Processing)
Lockheed Martin |
Fort Worth, TX
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Job ID: 701878BR Date posted: Aug. 25 2025 Description: Are you ready to join a team of innovators and play a critical role in shaping the future of Artificial Intelligence? We're seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team you'll have the opportunity to work on high-impact projects develop and apply cutting-edge AI technologies and collaborate with cross-functional teams to drive innovation and experimentation. What you'll be doing: Develop and apply current AI paradigms including computer vision deep learning and reinforcement learning to solve complex signal processing problems and field innovative solutions. Engage in every phase of the system development lifecycle including requirements generation system and software design implementation integration and flight test. Take ownership of critical tasks and lead technical teams to deliver high-quality solutions. Participate in the development of proposals and whitepapers to secure funding for AI research and development projects. Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise. Work collaboratively with cross-functional teams to develop and deploy AI solutions. Communicate complex technical concepts and solutions to non-technical stakeholders. What's In It For You: We offer flexible work schedules and comprehensive benefits investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big lead with a growth mindset and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big work hard and have fun doing what you love then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced Artificial Intelligence Engineer with: A strong background in software engineering artificial intelligence and machine learning. A strong background in signal processing theory and application (radar communication electronic warfare sonar audio or biomedical). Experience with current AI paradigms including computer vision deep learning and reinforcement learning. Proficiency in programming languages such as Python Java or C++. Self-motivation strong work ethic and time management skills. Excellent interpersonal and communication skills. A Bachelor's degree in a relevant field such as computer science electrical engineering or mathematics and 5+ years of experience in AI or a related field. Work Location: The preferred work locations for this position are Lockheed Martin facilities in Moorestown NJ Valley Forge PA Littleton CO Fort Worth TX Liverpool NY Owego NY and Shelton CT. Remote work arrangements may also be considered for qualified candidates. #LMLAIC Basic Qualifications: Bachelor's Degree in Engineering Computer Science or other related discipline Experience developing with machine learning frameworks (Pytorch Tensorflow MxNet Caffe Keras etc.) Experience with Python and multiple libraries (NumPy OpenCV Scikit Pandas SciPy etc.) Understanding of software engineering best practices. Experience with machine learning and deep learning for signal processing applications such as radar communication electronic warfare sonar audio or biomedical Desired Skills: Master's Degree in Engineering Computer Science or other related discipline with a specialization in Artificial Intelligence Experience applying AI/ML to mature complex software systems Experience with RF signal processing Experience with analog and digital signal processing Experience working on radar communication electronic warfare sonar systems Experience with multiple sensing modalities including full motion video in EO and IR passive and active radio frequency Synthetic Aperture Radar (SAR) and state of the art novel sensing techniques Familiarity with software defined radios Experience with training deep neural networks and other AI algorithms Experience leading engineering teams Experience developing and presenting briefs for government agencies Experience developing proposals and whitepapers Experience with DevOps tools: Docker Git [GitLab GitHub] Continuous Integration [CI] Continuous Deployment [CD] unit testing frameworks (e.g. Pytest Unittest) Experience with C++ Java and other compiled languages Active US DoD security clearance Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day 3 days off per week Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas) Colorado Hawaii Illinois Maryland Minnesota New Jersey Vermont Washington or Washington DC is $128200 - $225975. For states not referenced above the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position candidate's work experience education/ training key skills as well as market and business considerations when extending an offer. Benefits offered: Medical Dental Vision Life Insurance Short-Term Disability Long-Term Disability 401(k) match Flexible Spending Accounts EAP Education Assistance Parental Leave Paid time off and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month accrue up to 52 hours of sick leave annually receive at least 96 hours for holidays. PTO Vacation sick leave and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $147400 - $255530. For states not referenced above the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position candidate's work experience education/ training key skills as well as market and business considerations when extending an offer. Benefits offered: Medical Dental Vision Life Insurance Short-Term Disability Long-Term Disability 401(k) match Flexible Spending Accounts EAP Education Assistance Parental Leave Paid time off and Holidays. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company 's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. has employees based in many states throughout the U.S. and Internationally with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First
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Financial Support (Remote from uk)
HR Ways |
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About the job Financial Support (Remote from uk) Client Introduction: Where Technology Meets Purpose Job Summary: We are looking for a highly skilled and detail-oriented Financial Support Specialist to join our remote finance team supporting BAE Systems. The ideal candidate will have solid experience in SAP systems (Ariba Fiori CERPS) excellent Excel skills and a strong understanding of international currencies and project finance. This role requires financial business partnering experience hands-on transaction processing reporting and project accounting. Key Responsibilities: Process monthly transactions period-end close and financial reporting/forecasting Customer sales invoicing AR management credit control and customer query resolution Manage AP payment runs and employee expenses Weekly and monthly cashflow reporting and forecasting Bank reconciliations and cashbook postings (UK & FX currencies) Act as Finance Business Partner to Workplace Services within BAE Systems RES Line management of one Project Accountant Lead transaction processing journal entries and month-end close activities Prepare and review phased budgets and Integrated Business Plans (IBP) Ensure compliance with internal financial control frameworks and corporate governance Serve as SAP Project Accounting SME for the EITS to FS SAP Transition Project Support the Finance Team post-SAP implementation including close budgeting and IBP Finance Business Partner support for Applied Intelligence and Nightworks business units. Project accounting oversight for 4065 live projects (MOD-related) Prepare and review Contract Status Reports (CSR) and Summary Status Reports (SSR) Manage a small finance team: 1 Project Accountant 2 Finance Assistants Participate in the Shared Services Senior Finance Team and report to the Finance Director Support long-term financial planning (5-Year IBP) and lead regular forecast reviews. Provide financial guidance for project delivery and new business opportunities Assist with pricing and costing models for bids support commercial team on RFBA (Request for Bid Approval) preparations Contribute to monthly financial reporting processes including risk and opportunity assessments (Os & Vs) Must-Have Skills: Strong experience with SAP (Ariba Fiori CERPS) especially in transaction reporting Comfortable working with international currencies Advanced Excel skills (formulas pivot tables financial modeling) Proven experience in project finance support and financial business partnering Working Conditions: Fully remote role (based in the UK) Must have a reliable internet connection and remote work setup Other Details: Employment Type: Contractual Experience: 7+ Years Work Mode: Remote Location: UK About HR Ways: HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai Canada US UK Pakistan India Saudi Arabia Portugal Brazil and other parts of the world. Join our Whatsapp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more. Design and implement Graph Neural Network (GNN) architectures for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train fine-tune and deploy ML/DL models using TensorFlow PyTorch JAX or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations A/B testing and hyperparameter tuning for optimal performance. Build reusable pipelines and tools for ML training deployment and monitoring on GCP. Engage directly with customer technical teams to understand business needs and translate them into ML solutions. Produce technical documentation and presentations for internal and customer-facing stakeholders. Required Qualifications: Bachelors degree in computer science Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification 7+ years in a customer facing role working with enterprise clients 4+ years of experience working in enterprise data warehouse and analytics technologies Hands-on experience building and training machine learning models. Experience writing software in one or more languages such as Python Scala R or similar with strong competencies in data structures algorithms and software design. Experience working with recommendation engines data pipelines or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow Keras Torch Caffe Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow PyTorch or JAX. Knowledge of data analytics concepts including data warehouse technical architectures ETL and reporting/analytic tools and environments (such as Apache Beam Hadoop Spark Pig Hive MapReduce Flume). Customer facing experience of discovery assessment execution and operations. Demonstrated excellent communication presentation and problem solving skills. Experience in project governance and enterprise customer management. Proficiency in building Graph Neural Networks (GNNs) using frameworks like DGL PyTorch Geometric or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI BigQuery and Dataflow. Strong problem-solving and communication skills including the ability to work with clients and cross-functional teams. Preferred to Have: PhD in Computer Science AI/ML or related field. Experience with production ML systems and MLOps pipelines using Kubeflow or Vertex AI Pipelines. Knowledge of transformers and large language models (LLMs). Understanding of recommender systems natural language processing or graph-based search engines. Contributions to open-source ML libraries or published research in AI/ML. Other Details: Work Mode: Remote from anywhere in UK Working Timings: 6 Hours Experience: 7+ Years About HR Ways: HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai Canada US UK Pakistan India Saudi Arabia Portugal Brazil and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983azto stay updated or visit www.hrways.co to know more. Job Type: Full-time Pay: £350.00 per day Work Location: Remote
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Senior Manager/ AD - Telematics SME
Tiger Analytics |
Remote United States
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Tiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a part of our team you will apply strong expertise in AI through the use of machine learning data mining and information retrieval to design prototype and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Requirements Bachelor’s Degree in Computer Science or closely related field. 8 to 12 years of experience in Consulting. 5 years of experience in Telematics Experience with R Python or similar programming languages. Experience working in the areas of vehicle telematics logistics pattern detection in sensor or smartphone-connected data and geospatial mapping. Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce). Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python maptools spdep or OpenStreetMap) is a major plus. Experience with popular machine learning and deep learning frameworks (e.g. H2O TensorFlow PySpark PyTorch MXNet Caffe). Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers Experience with distributed storage and database platforms. Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing) Experience working with weather and atmospheric data. Experience with batch micro-batch streaming and distributed processing platforms such as Flink Hadoop Kafka Spark Hudi AWS EMR Arrow or Storm. Experience working within Amazon Web Services (AWS) cloud computing environments. Experience with terabytes petabytes or even exabytes of data. Familiarity with containerization tools such as Docker and Kubernetes. Background in spatial optimization algorithms is a major plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Director, Data Services and AI
Kentro |
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Thank you for considering IT Concepts dba Kentro where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions fostering professional growth and making a positive impact on our communities. Our transition to Kentro in 2025 reflects a rich legacy built upon the foundation of IT Concepts. Rather than leaving ITC behind we confidently embrace a future centered around the Core of More. By joining our supportive community you will find that Kentro is dedicated to your personal and professional development. Together we can drive meaningful change spark innovation and achieve extraordinary milestones. Kentro is hiring a results-driven Senior Director of Data Science and AI to define and execute our data strategy leveraging advanced analytics machine learning and AI to drive measurable business impact. This role will lead the development deployment and scaling of AI/ML models and data-driven solutions ensuring seamless integration across the organization. The ideal candidate has deep data science statistical modeling machine learning and AI expertise with a proven track record of delivering large-scale production-grade solutions. This position requires strong leadership to build and mentor a high-performing team while driving AI governance compliance and enterprise-wide adoption. If you are passionate about leveraging data science and AI to drive business success and have a proven track record of leadership in this field we invite you to apply and join our innovative team. Responsibilities: Leadership and Strategy: Develop and execute the company’s overall strategy for data science and AI. Collaborate with executive leadership to align data science and AI strategy with business objectives and delivery. Lead mentor and grow a team of data scientists machine learning engineers and AI researchers. Drive innovative solutions by leveraging partnerships with academies businesses and government. Work with Sr. Director of Innovation and Emerging Technology to deliver scalable and repeatable solutions aligned to the company’s core competencies. Define and implement an AI governance framework ensuring ethical AI and compliance. Drive AI adoption at scale integrating solutions across enterprise systems. Technical Expertise: Drive the development and implementation of machine learning models and AI solutions leveraging modern AI services such as OpenAI Gemini and Agentic AI as well as AI/ML cloud services such as AWS SageMaker Azure ML and GCP Vertex. Stay current with the latest data science and AI advancements to determine feasible advancements and integrate innovative approaches. Ensure best practices in data engineering model deployment and performance monitoring. Develop methods and approaches to maximize new data services solutions to advance AI differentiating capability. Project Management: Ability to shape and convert strategy into executable Roadmaps and Plans to advance the company’s goals in Data Science and AI space. Oversee the lifecycle of data science and AI projects from ideation to deployment. Ensure timely delivery of high-impact projects that drive business value. Prioritize projects based on business impact feasibility strategic importance and resource availability. Translate AI Strategy into an execution roadmap with measurable KPIs Collaboration: Work closely with cross-functional teams including product engineering marketing and finance. Foster a culture of innovation through a data-driven decision-making and continuous improvement approach. Communicate complex data science concepts to non-technical stakeholders clearly and concisely. Compliance and Ethics: Ensure compliance with data privacy regulations and ethical guidelines in AI practices. Promote responsible AI usage and mitigate potential biases in models. Location: This position can be performed remotely within the United States and will support Eastern Time working hours. Requirements Advanced degree (Master’s or Ph.D.) in Data Science Computer Science Statistics or a related field. Minimum of 10 years of experience in data science and AI with at least 5 years in a leadership role. Proven track record of delivering impactful data science and AI projects. Experience in leading and mentoring a high-performing team. Experience with deploying AI models at scale. Expertise in AI risk management bias mitigation model explainability regulatory compliance (GDPR CCPA HIPAA) and responsible AI frameworks. Expertise in machine learning deep learning and statistical modeling. Proficiency in programming languages such as Python R and SQL. Experience with big data technologies (e.g. Hadoop Spark Databricks and EMR) and cloud platforms (e.g. AWS Azure and Oracle). Experience with AI/ML frameworks and cloud services such as Tensorflow Pytorch Caffe MS Cognitive Toolkit AWS SageMaker & Bedrock Azure Machine Learning GCP Vertex AI and Databricks ML for model training deployment and lifecycle management. Experience and familiarity with modern AI consumer services such as ChatGPT Co-Pilot OpenAI Gemini and Agentic AI etc. Strong strategic thinking and problem-solving abilities. Excellent communication and presentation skills. Ability to foster a results-driven and execution-focused team environment. Clearance Requirements: Must be eligible to obtain a Top-Secret clearance. Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents + If you do not currently meet the ID requirements outlined you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. Benefits The Company We believe in generating success collaboratively enabling long-term mission success and building trust for the next challenge. With you as our partner let’s solve challenges think innovatively and maximize impact. As a valued member of our team you have the unique opportunity to work in a diverse range of technology and business career paths all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork dedication and excellence. We hold three ISO certifications (27001:2013 20000-1:2011 9001:2015) and two CMMI ML 3 ratings (DEV and SVC). Industry Recognition Growth Inc 5000’s Fastest Growing Private Companies DC Metro List Fastest Growing Washington Business Journal: Fastest Growing Companies Top Performing Small Technology Companies in Greater D.C. Culture Northern Virginia Technology Council Tech 100 Honoree Virginia Best Place to Work Washington Business Journal: Best Places to Work Corporate Diversity Index Winner – Mid-Size Companies Companies Owned by People of Color Department of Labor’s HireVets for our work helping veterans transition SECAF Award of Excellence finalist Victory Military Friendly Brand Virginia Values Veterans (V3) Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off healthcare benefits supplemental benefits 401k including an employer match discount perks rewards and more. We invest in our employees – Every employee is eligible for education reimbursement for certifications degrees or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course complete a certification or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities – virtual and in-person – e.g. we host happy hours holiday events fitness & wellness events and annual celebrations. In alignment with our commitment to our communities we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative innovative and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal state and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts Kentro has established an equal opportunity plan outlining our commitment to recruiting hiring and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees including protected veterans are treated with dignity respect and fairness. How to Apply To apply to Kentro Positions- Please click on the: “Apply for this Job” button at the bottom of this Job Description or the button at the top: “Application.” Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods please email careers@kentro.us and request assistance. Accommodations To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations please email careers@kentro.us. #LI-SH1 #kentro
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Director, Data Services and AI
Kentro |
Remote United States
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Thank you for considering IT Concepts dba Kentro where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions fostering professional growth and making a positive impact on our communities. Our transition to Kentro in 2025 reflects a rich legacy built upon the foundation of IT Concepts. Rather than leaving ITC behind we confidently embrace a future centered around the Core of More. By joining our supportive community you will find that Kentro is dedicated to your personal and professional development. Together we can drive meaningful change spark innovation and achieve extraordinary milestones. Kentro is hiring a results-driven Senior Director of Data Science and AI to define and execute our data strategy leveraging advanced analytics machine learning and AI to drive measurable business impact. This role will lead the development deployment and scaling of AI/ML models and data-driven solutions ensuring seamless integration across the organization. The ideal candidate has deep data science statistical modeling machine learning and AI expertise with a proven track record of delivering large-scale production-grade solutions. This position requires strong leadership to build and mentor a high-performing team while driving AI governance compliance and enterprise-wide adoption. If you are passionate about leveraging data science and AI to drive business success and have a proven track record of leadership in this field we invite you to apply and join our innovative team. Responsibilities: Leadership and Strategy: Develop and execute the company’s overall strategy for data science and AI. Collaborate with executive leadership to align data science and AI strategy with business objectives and delivery. Lead mentor and grow a team of data scientists machine learning engineers and AI researchers. Drive innovative solutions by leveraging partnerships with academies businesses and government. Work with Sr. Director of Innovation and Emerging Technology to deliver scalable and repeatable solutions aligned to the company’s core competencies. Define and implement an AI governance framework ensuring ethical AI and compliance. Drive AI adoption at scale integrating solutions across enterprise systems. Technical Expertise: Drive the development and implementation of machine learning models and AI solutions leveraging modern AI services such as OpenAI Gemini and Agentic AI as well as AI/ML cloud services such as AWS SageMaker Azure ML and GCP Vertex. Stay current with the latest data science and AI advancements to determine feasible advancements and integrate innovative approaches. Ensure best practices in data engineering model deployment and performance monitoring. Develop methods and approaches to maximize new data services solutions to advance AI differentiating capability. Project Management: Ability to shape and convert strategy into executable Roadmaps and Plans to advance the company’s goals in Data Science and AI space. Oversee the lifecycle of data science and AI projects from ideation to deployment. Ensure timely delivery of high-impact projects that drive business value. Prioritize projects based on business impact feasibility strategic importance and resource availability. Translate AI Strategy into an execution roadmap with measurable KPIs Collaboration: Work closely with cross-functional teams including product engineering marketing and finance. Foster a culture of innovation through a data-driven decision-making and continuous improvement approach. Communicate complex data science concepts to non-technical stakeholders clearly and concisely. Compliance and Ethics: Ensure compliance with data privacy regulations and ethical guidelines in AI practices. Promote responsible AI usage and mitigate potential biases in models. Location: This position can be performed remotely within the United States and will support Eastern Time working hours. Requirements Advanced degree (Master’s or Ph.D.) in Data Science Computer Science Statistics or a related field. Minimum of 10 years of experience in data science and AI with at least 5 years in a leadership role. Proven track record of delivering impactful data science and AI projects. Experience in leading and mentoring a high-performing team. Experience with deploying AI models at scale. Expertise in AI risk management bias mitigation model explainability regulatory compliance (GDPR CCPA HIPAA) and responsible AI frameworks. Expertise in machine learning deep learning and statistical modeling. Proficiency in programming languages such as Python R and SQL. Experience with big data technologies (e.g. Hadoop Spark Databricks and EMR) and cloud platforms (e.g. AWS Azure and Oracle). Experience with AI/ML frameworks and cloud services such as Tensorflow Pytorch Caffe MS Cognitive Toolkit AWS SageMaker & Bedrock Azure Machine Learning GCP Vertex AI and Databricks ML for model training deployment and lifecycle management. Experience and familiarity with modern AI consumer services such as ChatGPT Co-Pilot OpenAI Gemini and Agentic AI etc. Strong strategic thinking and problem-solving abilities. Excellent communication and presentation skills. Ability to foster a results-driven and execution-focused team environment. Clearance Requirements: Must be eligible to obtain a Top-Secret clearance. Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents + If you do not currently meet the ID requirements outlined you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. Benefits The Company We believe in generating success collaboratively enabling long-term mission success and building trust for the next challenge. With you as our partner let’s solve challenges think innovatively and maximize impact. As a valued member of our team you have the unique opportunity to work in a diverse range of technology and business career paths all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork dedication and excellence. We hold three ISO certifications (27001:2013 20000-1:2011 9001:2015) and two CMMI ML 3 ratings (DEV and SVC). Industry Recognition Growth Inc 5000’s Fastest Growing Private Companies DC Metro List Fastest Growing Washington Business Journal: Fastest Growing Companies Top Performing Small Technology Companies in Greater D.C. Culture Northern Virginia Technology Council Tech 100 Honoree Virginia Best Place to Work Washington Business Journal: Best Places to Work Corporate Diversity Index Winner – Mid-Size Companies Companies Owned by People of Color Department of Labor’s HireVets for our work helping veterans transition SECAF Award of Excellence finalist Victory Military Friendly Brand Virginia Values Veterans (V3) Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off healthcare benefits supplemental benefits 401k including an employer match discount perks rewards and more. We invest in our employees – Every employee is eligible for education reimbursement for certifications degrees or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course complete a certification or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities – virtual and in-person – e.g. we host happy hours holiday events fitness & wellness events and annual celebrations. In alignment with our commitment to our communities we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative innovative and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal state and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts Kentro has established an equal opportunity plan outlining our commitment to recruiting hiring and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees including protected veterans are treated with dignity respect and fairness. How to Apply To apply to Kentro Positions- Please click on the: “Apply for this Job” button at the bottom of this Job Description or the button at the top: “Application.” Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods please email careers@kentro.us and request assistance. Accommodations To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations please email careers@kentro.us. #LI-SH1 #kentro
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AI/ML Engineer
Ubique Systems |
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Job Title: AI/ML Engineer - GCP Location: UK - Remote Duration: 6 Months (Extendable) Employment Type: Contract B2B/Freelance {Inside IR35} Roles & Responsibilities: About the Role We are seeking an experienced AI/ML Engineer to help enterprise clients accelerate their adoption of advanced machine learning technologies. This role will focus on building graph-based neural network (GNN) models generating ScaNN-based embeddings and training scalable ML models for search recommendation and classification systems. You will collaborate closely with Google Cloud engineers architects and data scientists to deliver innovative production-ready AI solutions. Key Responsibilities Design and implement Graph Neural Network (GNN) architectures for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train fine-tune and deploy ML/DL models using TensorFlow PyTorch JAX or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations A/B testing and hyperparameter tuning for optimal performance. Build reusable pipelines and tools for ML training deployment and monitoring on GCP. Engage directly with customer technical teams to understand business needs and translate them into ML solutions. Produce technical documentation and presentations for internal and customer-facing stakeholders. Required Qualifications Bachelor’s degree in computer science Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification 7+ years in a customer facing role working with enterprise clients 4+ years of experience working in enterprise data warehouse and analytics technologies Hands-on experience building and training machine learning models. Experience writing software in one or more languages such as Python Scala R or similar with strong competencies in data structures algorithms and software design. Experience working with recommendation engines data pipelines or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow Keras Torch Caffe Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow PyTorch or JAX. Knowledge of data analytics concepts including data warehouse technical architectures ETL and reporting/analytic tools and environments (such as Apache Beam Hadoop Spark Pig Hive MapReduce Flume). Customer facing experience of discovery assessment execution and operations. Demonstrated excellent communication presentation and problem solving skills. Experience in project governance and enterprise customer management. Proficiency in building Graph Neural Networks (GNNs) using frameworks like DGL PyTorch Geometric or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI BigQuery and Dataflow. Strong problem-solving and communication skills including the ability to work with clients and cross-functional teams. Preferred Qualifications PhD in Computer Science AI/ML or related field. Experience with production ML systems and MLOps pipelines using Kubeflow or Vertex AI Pipelines. Knowledge of transformers and large language models (LLMs). Understanding of recommender systems natural language processing or graph-based search engines. Contributions to open-source ML libraries or published research in AI/ML.
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Senior Manager/ AD - Telematics SME
tiger-analytics |
United States
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DescriptionTiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a part of our team you will apply strong expertise in AI through the use of machine learning data mining and information retrieval to design prototype and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. ➡ Requirements Bachelor’s Degree in Computer Science or closely related field. 8 to 12 years of experience in Consulting. 5 years of experience in Telematics Experience with R Python or similar programming languages. Experience working in the areas of vehicle telematics logistics pattern detection in sensor or smartphone-connected data and geospatial mapping. Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce). Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python maptools spdep or OpenStreetMap) is a major plus. Experience with popular machine learning and deep learning frameworks (e.g. H2O TensorFlow PySpark PyTorch MXNet Caffe). Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers Experience with distributed storage and database platforms. Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing) Experience working with weather and atmospheric data. Experience with batch micro-batch streaming and distributed processing platforms such as Flink Hadoop Kafka Spark Hudi AWS EMR Arrow or Storm. Experience working within Amazon Web Services (AWS) cloud computing environments. Experience with terabytes petabytes or even exabytes of data. Familiarity with containerization tools such as Docker and Kubernetes. Background in spatial optimization algorithms is a major plus. ➡ BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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Senior Data Scientist - Telematics
tiger-analytics |
United States, Canada
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DescriptionTiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a part of our team you will apply strong expertise in AI through the use of machine learning data mining and information retrieval to design prototype and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. ➡ Requirements Bachelor’s Degree in Computer Science or closely related field. 6 to 10 years of experience in Data Science. Experience with R Python or similar programming languages. Experience working in the areas of vehicle telematics logistics pattern detection in sensor or smartphone-connected data and geospatial mapping. Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce). Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python maptools spdep or OpenStreetMap) is a major plus. Experience with popular machine learning and deep learning frameworks (e.g. H2O TensorFlow PySpark PyTorch MXNet Caffe). Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers Experience with distributed storage and database platforms. Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing) Experience working with weather and atmospheric data. Experience with batch micro-batch streaming and distributed processing platforms such as Flink Hadoop Kafka Spark Hudi AWS EMR Arrow or Storm. Experience working within Amazon Web Services (AWS) cloud computing environments. Experience with terabytes petabytes or even exabytes of data. Familiarity with containerization tools such as Docker and Kubernetes. Background in spatial optimization algorithms is a major plus. ➡ BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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