Strategic Employment Partners has partnered with iHire to reach top talent for their opening below. Check it out and apply via iHireTechnology today! AI/ML Developer (Healthcare) A leading healthcare company is seeking a skilled AI/Machine Learning Developer to join its R&D team. The Role You'll be a key member of a cross-functional team working alongside data scientists clinicians and software engineers to design build and deploy AI/ML models. Your primary focus will be on developing internal applications. Responsibilities Collaborate with stakeholders to identify opportunities where AI/ML can create significant internal impact. Extract transform and preprocess data to build accurate and reliable AI/ML models. Ideal Experience Bachelor's degree in Computer Science or a related quantitative field. A Master's degree is a plus. 6+ years of professional software development experience. 3+ years of experience with ML or deep learning is preferred. Strong proficiency in programming languages commonly used for AI/ML (e.g. Python Java). Employment Type: Full Time Salary: $120000 - $150000 Annual Bonus/Commission: No

Machine Learning Expert Remote Hourly Contract $75 –$125 per hour Role Overview Experienced Machine Learning professionals are invited to collaborate on a research initiative with a leading AI lab. The role involves contributing to the development and evaluation of advanced AI systems that replicate real-world engineering and data science workflows. This position blends hands-on model development with the evaluation and calibration of AI-driven decision-making processes. Key Responsibilities Evaluate AI-generated machine learning outputs for quality accuracy and business alignment . Calibrate decision-making processes for tasks such as model training performance optimization and pipeline evaluation . Design build and refine machine learning models and large-scale data pipelines . Collaborate with researchers and engineers to improve architectures training strategies and deployment methods . Ideal Qualifications 2+ years of experience in machine learning deep learning or large-scale AI systems. Bachelor’s degree in Computer Science Machine Learning Data Science or related field advanced degrees (MSc PhD) are a plus. Proficiency with frameworks such as TensorFlow or PyTorch along with model evaluation techniques. Strong understanding of large-scale data processing training pipelines and optimization strategies . Excellent analytical critical thinking and communication skills with the ability to simplify complex workflows into clear insights . Project Timeline Start Date: Immediate Duration: 1–2 months Commitment: ~20 hours/week with potential extension to 40 hours/week Schedule: Fully remote asynchronous flexible Compensation & Contract Rate: $75–$125/hour depending on experience Performance Incentives: Weekly bonuses of $20–$100/hr for top performers Contract Type: Independent contractor Payment: Daily via Stripe Connect Application & Onboarding Process 1. Submit your resume. 2. Complete a short AI interview (conversational no prep required). 3. Participate in a paid 3-hour work trial to demonstrate your ability to interpret guidelines and deliver ML-specific outputs.

Machine Learning Expert Remote Hourly Contract $75 – $125 per hour Role Overview Experienced Machine Learning professionals are invited to collaborate on a research initiative with a leading AI lab. The role involves contributing to the development and evaluation of advanced AI systems that replicate real-world engineering and data science workflows. This position blends hands-on model development with the evaluation and calibration of AI-driven decision-making processes. Key Responsibilities Evaluate AI-generated machine learning outputs for quality accuracy and business alignment . Calibrate decision-making processes for tasks such as model training performance optimization and pipeline evaluation . Design build and refine machine learning models and large-scale data pipelines . Collaborate with researchers and engineers to improve architectures training strategies and deployment methods . Ideal Qualifications 2+ years of experience in machine learning deep learning or large-scale AI systems. Bachelor’s degree in Computer Science Machine Learning Data Science or related field advanced degrees (MSc PhD) are a plus. Proficiency with frameworks such as TensorFlow or PyTorch along with model evaluation techniques. Strong understanding of large-scale data processing training pipelines and optimization strategies . Excellent analytical critical thinking and communication skills with the ability to simplify complex workflows into clear insights . Project Timeline Start Date: Immediate Duration: 1–2 months Commitment: ~20 hours/week with potential extension to 40 hours/week Schedule: Fully remote asynchronous flexible Compensation & Contract Rate: $75–$125/hour depending on experience Performance Incentives: Weekly bonuses of $20–$100/hr for top performers Contract Type: Independent contractor Payment: Daily via Stripe Connect Application & Onboarding Process 1. Submit your resume. 2. Complete a short AI interview (conversational no prep required). 3. Participate in a paid 3-hour work trial to demonstrate your ability to interpret guidelines and deliver ML-specific outputs.

Logistics at full potential. At GXO we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees which boosts productivity and dedication. On our team you’ll have the support to excel at work and the resources to build a career you can be proud of. We’re out to transform transportation logistics through technology and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer you will be responsible for designing building and maintaining scalable machine learning systems. You will work closely with data scientists software engineers and business stakeholders to deploy models into production ensure system reliability and optimize performance across GXO’s operations. Pay Benefits And More. We are eager to attract the best so we offer competitive compensation and a generous benefits package including full health insurance (medical dental and vision) 401(k) life insurance disability and more. What you’ll do on a typical day: Deploy and monitor ML models in production Use tools like Docker Kubernetes and MLflow to ensure scalable and reliable deployment Build and maintain data pipelines Use tools like Airflow Spark or Kafka to support model training and inference Integrate ML models into business applications Collaborate with software engineers to embed models into operational systems Monitor model performance and data drift Implement alerting and retraining pipelines Clean and preprocess data Ensure data quality and consistency for modeling Work with cross-functional teams Translate business needs into technical solutions Maintain technical documentation Ensure reproducibility and knowledge sharing Optimize ML workflows Identify and implement improvements in performance and scalability What you need to succeed at GXO: At a minimum you’ll need: Bachelor’s degree in Computer Science Statistics Mathematics Data Science Economics Physics or another analytics-related field or equivalent related work or military experience 3–5 years in AI/ML engineering or Data Science or software engineering with ML focus ML Engineering Expertise: Strong understanding of ML lifecycle from training to deployment and monitoring. Programming Proficiency: Advanced Python skills experience with ML libraries (e.g. Scikit-learn TensorFlow PyTorch). MLOps Tools: Proficiency in Docker Kubernetes MLflow and CI/CD pipelines. Data Engineering: Experience with data pipeline tools (Airflow Spark Kafka). Cloud Platforms: Familiarity with AWS GCP or Azure. It’d be great if you also had: Collaboration: Ability to work with data scientists developers and business stakeholders. Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders. We engineer faster smarter leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race sex disability veteran or other protected status. GXO adheres to CDC OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time as needed. Review GXO's candidate privacy statement here.

About Us Close is a bootstrapped profitable 100% remote ~100 person team of thoughtful individuals who prioritize taking ownership and making a meaningful impact. We’re eager to make a product our customers fall in love with over and over again. We 💛 small scaling businesses. Since 2013 we’ve been building a CRM that focuses on better communication without the hassle of manual data entry or a complex UI. We are out to supercharge sales productivity with the most modern thoughtfully designed all-in-one communication-focused CRM. We have minimal ML tech currently deployed so a primary goal for this new role is to help design and implement our ML architecture for the future. That will require pulling data from our existing backend tech stack. This consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB PostgreSQL Redshift and Elasticsearch. The underlying infrastructure runs on AWS using a combination of managed and unmanaged services. We have a data warehouse that we use internally to evaluate app usage patterns perform cost/pricing analysis and other business intelligence efforts. We love open sourcing our code and ideas on GitHub and on The Making of Close our behind-the-scenes Product & Engineering blog. Check out our open source projects like TaskTiger LimitLion SocketShark and ciso8601. About The Role We’re seeking a self-driven individual eager to take on this new role and make an impact by helping us harness our data to build better product features. We’re excited to apply statistical analysis machine learning and a healthy dose of LLMs to create data-driven features that further boost our customers’ productivity. This is a new role at Close so you’ll need to leverage your skill set and experience to drive these initiatives forward. You will be joining our Data Insights team one of our six cross-functional product teams. You will be regularly collaborating with backend & frontend engineers product managers designers and other teams as we turn new ideas into product features. The primary focus of this role is to help build better data enabled features but we do expect there to be a few internal projects that could leverage data science techniques for our own BI purposes. You will Collaborate closely with product engineering and other teams to uncover new data-driven product capabilities Develop statistical and machine learning models to solve business problems Design and implement end-to-end data pipelines that normalize manage quality issues and transform raw data into useful data sets for analysis training and validation Work closely with our Backend and Infrastructure engineers to productionize ML models and pipelines Perform feature engineering with existing and external data sources to develop optimal features for training our models Instrument our data processing infrastructure to ensure its health by monitoring its performance availability and other operational parameters. Define and advance data science best practices within our engineering and product teams Ensure data integrity quality and security Add your data expertise to help improve our AI efforts (e.g. fine tuning improved RAG data sources etc.) You have 5+ years of experience as a ML Engineer or Data Scientist solving meaningful business problems - Ideally some/all of this experience is at a Senior or Staff level Extensive experience with Python and working knowledge of software development methodologies Extensive experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn). Experience deploying machine learning models to production environments Experience working with production relational databases as well as data warehouses on platforms such as Redshift - bonus for experience with NoSQL databases like Mongo Comprehensive knowledge of advanced SQL techniques Experience with data modeling including dimensional modeling for data warehouses Working knowledge of latest AI models and their applicability to solve business problems Proven track record of leading successful data projects that have made a positive business impact Ability to explain complex data scientist concepts to engineers product managers and other non-data scientist team members Benefits Competitive compensation including an organization-wide goal-based bonus Paid Time Off: 5 Weeks PTO upon joining + Winter Holiday Break. Each year with the company you’ll receive 2 additional PTO days 80% Work Option: Work with your manager to choose between working 5 day weeks (standard full-time) or 4 day weeks @ 80% pay Paid Parental Leave for primary and secondary caregivers Sabbatical: After 5 years with the team you’re eligible for a 1 month paid sabbatical Healthcare (US residents): Medical Dental Vision with HSA option (US residents) Dependent care FSA (US residents) 401k (US residents): We match 6% contributions with immediate vesting Our Values Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others Learn More Listen to our CEO and Founder Steli Efti tell the story of Close’s journey in the $0-30m Blueprint. Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection foster cross-functional collaboration and have fun. In 2025 we’re headed to Paris France. Explore our product. Check out a video demo or try an interactive demo! Our Hiring Process We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start so please answer each question thoughtfully. We see this as an opportunity to get to know you beyond your resume. While we are excited by all the opportunities that generative AI has unlocked we request that you refrain from relying exclusively on AI tools when completing an application unless explicitly stated. Every application is read closely by humans and any obviously AI generated applications will be disregarded. Regardless of fit you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process you’ll receive a full outline of the role-specific interview process in your first touchpoint with us. We do our best to make the hiring process clear and human.

At DICK’S Sporting Goods we believe in how positively sports can change lives. On our team everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team apply to join our team today! Overview Founded in 1948 DICK’S Sporting Goods first started as a bait-and-tackle shop in Binghamton NY and has since rapidly expanded into a leading omnichannel retailer with more than 850 locations representing our multiple brands: DICK’S House of Sport Golf Galaxy Public Lands Going Going Gone and more. Over the years it’s been our relentless focus on inspiring supporting and equipping athletes and outdoor enthusiasts to achieve their dreams that has allowed us to become the $13B company we are today. Our company is looking to invest in our future as we embark on a journey from being the best sports retailer in the world to becoming the best sports company in the world. We aim to build the ultimate athlete data set that will power our tools and platforms for the most personalized athlete experiences. Join us as we transform our technology data and analytics to build next-gen tools and platforms for our athletes and teammates. About The Position Are you a passionate technologist with experience in AI Machine Learning Data Science and Analysis? Are you looking for an opportunity to drive enterprise impact and shape the future of a leading sports retailer with $12B+ in revenue and 800+ physical stores? Do you enjoy working with a highly skilled team of Machine Learning engineers & Scientists co-creating enterprise grade AI capabilities? As the Lead Machine Learning Engineer (Decision Engine/Performance Platform) you will be a key technical leader in our athlete and teammate transformation that aims to deliver a best in class customer experience through highly skilled teammates by providing them advanced intelligent decisioning tools using AI/GenAI and Machine Learning at its core. This is an exceptional opportunity to transform the way we make omnichannel enterprise decisions through building foundational AI/GenAI capabilities and do career defining work in the space. There are two specific openings one in the area of Decision Engine and the other in Performance Platform. In Decision Engine the emphasis is more on experience building enterprise decisioning systems using AI and integrating across multiple enterprise systems for decision delivery. While in Performance Platform the focus is more on building sports mechanics and performance related experiences using AI. Job Purpose This role will require an emerging technical leader & SME with strong experience in traditional Machine Learning algorithms along with deep understanding of the cutting edge SOTA AI/GenAI methods used in recommender systems enterprise decisioning tools and/or computer vision/ sports mechanics. As a technical leader you will be influencing critical enterprise technical strategies both in the Machine Learning/AI space and neighboring integration spaces like frontend DSP backend data systems etc. You will partner with product business and engineering leads to design systems for future growth and scale and help them understand the art of the possible with AI technology through deep technical design. Responsibilities Design and lead ML architecture and model deployment strategies for both batch and streaming use cases Ensure the scalability reliability and efficiency of machine learning solutions. Optimize and improve the performance of existing machine learning models and systems. Design Cloud deployment architecture for deploying ML models as APIs for real-time inference with Caching Develop and maintain APIs for machine learning models to facilitate integration with other systems and applications. Work closely with the Machine Learning Platform team to develop and maintain the ML platform to meet business and science objectives utilizing cutting edge tools and techniques Conduct research and stay up-to-date with the latest advancements in machine learning and artificial intelligence specifically in the areas of recommender systems and/or computer vision Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Decision Engine – Understand other recommender/search systems within the enterprise including but not limited to internal systems and external systems like Adobe Elastic etc and how they will interact with the enterprise decision engine Performance Platform – Understand the market offerings in performance science & develop a perspective on Dick’s unique technical positioning of the performance platform using computer vision performance mechanics and AI. Job Requirements 6+ years of experience in the field with at least 2-3 years of being the main technical lead in related projects (strongly preferred) Experience being the technical lead of multiple projects at the same time responsible for delivery and business metrics Experience in API engineering including designing developing and maintaining APIs Extensive experience using common machine learning and deep learning frameworks such as TensorFlow PyTorch OpenAI and LangChain Expert understanding of Python and other common languages. Expert level experience in big data technologies including but not limited to Spark Kafka distributed systems computing etc. Experience in an Agile working environment and at least one related project management tool (Azure DevOps Jira etc.) Previous experience mentoring training and developing junior members of the team through technical influence. Experience with software engineering principles as it relates to Machine Learning systems. Comfortable presenting results to and influencing senior and executive leadership on strategic technical decisions from the lens of science. Deep understanding of SOTA machine learning models in the overall retail space and performance space. Bonus if specific experience in cutting edge recommender systems computer vision and sports science. Brings a collaborative problem solving and growth mindset to all interactions with a strong focus on delivery. Qualifications Education: Master's Degree or equivalent level preferred in quantitative fields like Computer Science Engineering Physics Mathematics etc. General Experience: Wide and deep experience providing expert competence (Over 10 years to 15 years) At DICK’S we thrive on innovation and authenticity. That said to protect the integrity and security of our hiring process we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments. To ensure a smooth and secure experience please note the following: Cameras must be on during all virtual interviews. AI tools are not permitted to be used by the candidate during any part of the interview process. Offers are contingent upon a satisfactory background check which may include ID verification. If you have any questions or need accommodations we’re here to help. Thanks for helping us keep the process fair and secure for everyone! Targeted Pay Range: $95200.00 - $158800.00. This is part of a competitive total rewards package that could include other components such as: incentive equity and benefits. Individual pay is determined by a number of factors including experience location internal pay equity and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more visit www.benefityourliferesources.com.

### About us Constructor is the next-generation platform for search and discovery in ecommerce built to explicitly optimize for metrics like revenue conversion rate and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department and we’ve built our proprietary engine to be the best on the market having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora Under Armour and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy openness curiosity continuous improvement and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ### Challenges you will tackle Build and deploy robust ML systems of attribute enrichment for products with the usage of state-of-the-art ML techniques. Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of Attribute Enrichment algorithms to stakeholders. Improve business KPIs by validating hypotheses with new ML approaches & techniques for attribute enrichment. ### About you You are excited about using ML to build a performant & practical ML system running and updating on a daily basis. You are proficient in NLP on high level (especially transformer-based approaches) has practical experience with modern architectures. Experience working with CV is a big plus. You excel at Python at least one ML/DL framework have proficiency with any variant of SQL and feel comfortable with the big data stack like Spark Presto/Athena & Hive. You have delivered production ML systems and conducted A/B tests to validate their value. Experience leading strategic ML product initiatives from ideation to production within a cross-functional team is a big plus. You are an excellent communicator with the ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value. Requirements 2+ years of professional experience in applied machine learning Excellent skills delivering & communicating business value Proficiency with Python SQL and the big data stack for end-to-end ML product development Comprehensive knowledge of classical machine learning including ranking & classification Experience with deep learning including neural networks and representation learning Skills designing conducting & analyzing A/B tests Strong knowledge of data structures algorithms and their trade-offs A proven track record of software architecture & design skills Experience with a public cloud like AWS Azure or GCP Benefits ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees ‍ Training and development budget for every employee refreshed each year Maternity & Paternity leave for qualified employees Work with smart people who will help you grow and make a meaningful impact This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge skills experience and interview results. Regular team offsites to connect and collaborate ### Diversity Equity and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse equitable and inclusive. As an equal opportunity employer we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education diversity of opinion race color religion gender gender expression sexual orientation national origin genetics disability age veteran status or affiliation in any other protected group.

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. We are seeking a highly experienced Sr. Manager Machine Learning Engineer to lead our AI/ML Platform team. This role is critical in scaling our ML infrastructure and ensuring our platform supports the development and deployment of robust secure and scalable AI/ML solutions. The ideal candidate is a technically strong leader with deep experience in machine learning systems infrastructure engineering and team leadership. Key Responsibilities: Lead the strategy design and delivery of the AI/ML platform enabling end-to-end ML lifecycle support. Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals. Architect scalable secure and reliable infrastructure for model training deployment and monitoring. Establish and drive best practices in MLOps data governance model management and observability. Mentor hire and grow a high-performing team of engineers focused on ML systems. Collaborate with data scientists and ML engineers to deliver production-ready models. Ensure compliance with data privacy and security standards. Continuously improve platform performance scalability and user experience. Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science Engineering or related field. 10+ years of experience in software engineering and AI/ML platform development. Proven leadership experience in managing and scaling engineering teams. Expertise in AI/ML frameworks (e.g. TensorFlow PyTorch scikit-learn). Strong proficiency with cloud platforms (AWS GCP or Azure) Docker Kubernetes and CI/CD practices. Deep understanding of MLOps model lifecycle management and data governance. Strong communication and collaboration skills across technical and non-technical teams. Preferred Qualifications: Experience with large language models (LLMs) including Retrieval-Augmented Generation (RAG) and agent-based architectures. Familiarity with real-time model serving tools such as Seldon Ray or AWS SageMaker. Knowledge of semantic data modeling and enterprise data integration technologies. Annual Salary $150000.00 - $300000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidate’s work experience education and training the work location as well as market and business considerations. At this time GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation exceeding our customers’ expectations and enabling our collective success. From day one you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn grow and thrive through personalized development programs created with your career – and your potential – in mind. You’ll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. Financial benefits including market-competitive compensation a 401K savings plan vested from day one that offers a 6% match performance and recognition-based incentives and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Valiant Solutions is seeking a Data Science & Machine Learning Engineer to join their innovative cybersecurity team. The role involves managing a large Cybersecurity big data platform building machine learning models analyzing data and visualizing security anomalies to enhance client capabilities against threats. Responsibilities: • Lead analysis efforts in petabyte-scale clusters of security data • Instruct agency leadership on machine learning program efforts and direction • Prepare data streams for Machine Learning use cases writing parsing logic and indexing data as needed • Developing custom Machine Learning models using AWS services (e.g. Sage Maker) or equivalent open-source tools and developing ML rules using COTS products • Developing data visualizations using a data visualization tool and learning new Kibana visualization capabilities such as Vega • Collaborating with Cybersecurity analysts and other developers to solve threat monitoring problems and improve our client’s security posture • Developing DSML strategy and procedure to detect anomalies in all layers of a large internet-facing application • Developing and configuring anomaly alerting logic • Participate in a rotating on-call schedule Qualifications: Required: • 5 years of experience in Data Science • 2+ years of experience developing using Python • Bachelor of Science in Computer Science Information Technology Network Engineering Security Engineering System Administration (or a related field) or three additional years of IT experience. • Experience working with business intelligence tools such as PowerBI or Tableau • Experience preparing datasets for Machine Learning and generating ML models • Strong mathematics skills (e.g. statistics algebra) • Experience with big data technologies such as Hadoop Kafka or Spark • Advanced ability to perform exploratory data analysis • Exceptional technical writing skills • Ability to communicate complex data in a simple actionable way • Ability to visualize data in the most effective way possible for a given project • Analytical and problem-solving skills • Experience with machine learning and AI • Familiarity with data management tools • Excellent attention to detail • Proven ability to meet deadlines and adapt quickly to changing and multiple priorities • Energetic and forward-thinking with high ethical standards • A team player trustworthy and willing to share information Preferred: • Experience preferred with SIEM tools such as Elastic Stack or Splunk • Demonstrated knowledge of security concepts and best security practices is preferred Company: Valiant Solutions LCC stands out as a premier provider of Cybersecurity and IT services aiding the Federal Government in staying ahead of complex information security challenges. Founded in 2005 the company is headquartered in Washington District of Columbia USA with a team of 201-500 employees. The company is currently Growth Stage.

Job Summary We are seeking a skilled Machine Learning Engineer to join our dynamic team. In this role you will be responsible for designing developing and deploying machine learning models to solve complex problems and enhance our data-driven decision-making processes. You will work closely with data scientists and software engineers to implement robust machine learning solutions that leverage big data technologies and advanced analytics. Duties Develop and implement machine learning algorithms and models using frameworks such as TensorFlow Spark and SAS. Conduct data mining and preprocessing to prepare datasets for model training. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Design and optimize ETL processes for efficient data extraction transformation and loading. Deploy machine learning models into production environments ensuring scalability and reliability. Utilize AWS services for cloud-based model deployment and management. Engage in continuous learning of new technologies in AI natural language processing and quantum engineering. Document processes methodologies and results to ensure knowledge sharing within the team. Qualifications Proficiency in programming languages such as Python Java C and R. Strong understanding of machine learning concepts including supervised and unsupervised learning techniques. Experience with big data technologies such as Hadoop and analytics tools like Looker. Familiarity with database design principles and SQL for effective data manipulation. Knowledge of linked data principles and experience with tools like Talend for data integration. Experience in model training evaluation and deployment using various machine learning frameworks. Ability to work with Bash (Unix shell) for scripting tasks related to data processing. Excellent problem-solving skills with a strong analytical mindset. Join us in pushing the boundaries of technology through innovative machine learning solutions that drive impactful results. Job Type: Contract Pay: $75.00 - $150.00 per hour Expected hours: 20 – 40 per week Benefits: Flexible schedule Referral program Work Location: Remote