Job Summary: We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Your insight and expertise will help our delivery teams build ML solutions and build solutions across Data Science Machine learning Generative AI databases security and automation. In addition you will work with mid-tier technologies that include application integration security and much more! This position is ideal for candidates with a strong foundation in machine learning principles data processing and software engineering. You will support the design development and deployment of ML models and pipelines as well as assist in ingesting and transforming data for machine learning use cases. Work Location: Remote ### Key Responsibilities: + Assist in developing training and validating machine learning models for real-world applications (e.g. classification prediction and recommendation systems). + Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools + Perform data cleaning normalization and feature engineering to prepare high-quality datasets for ML training and evaluation. + Collaborate on ML projects such as outcome prediction systems image classification models and intelligent search interfaces. + Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g. React Django REST APIs). + Participate in MLOps workflows including model versioning basic deployment tasks and experiment tracking. + Document data flows ML experiments and application logic consistently. + Attend Agile meetings and collaborate with peers through code reviews and sprint activities. ### Required Qualifications: + Bachelor’s degree in Computer Science Data Science Statistics Engineering or a related field. + Experience in machine learning data engineering or software development roles (internships or academic projects acceptable). + Solid understanding of supervised learning classification and data preprocessing techniques. + Experience with data engineering concepts including SQL PostgreSQL and REST API integration + Basic knowledge of data ingestion and transformation concepts. + Proficiency in Python and common ML libraries (e.g. scikit-learn pandas NumPy TensorFlow or PyTorch). + Familiarity with full-stack or web-based ML applications (e.g. React Django or Android Studio projects). + Familiarity with SQL and data wrangling tools. + Experience with version control tools like Git. + Strong problem-solving skills and attention to detail. + Effective communication and documentation skills. + Enthusiasm for learning new tools and growing within a collaborative team environment ### Preferred Qualifications: + Exposure to cloud platforms such as AWS GCP or Azure. + Experience with pyton Spark Airflow or data pipeline frameworks. + Understanding of basic data architecture concepts (e.g. data lakes warehouses). + Participation in ML/DS projects hackathons or Kaggle competitions. ### Sponsorship + This role is not sponsorship eligible + Candidates need to be legally allowed to work in the US for any employer The following information is required by pay transparency legislation in the following states: CA CO HI NY and WA. This information applies only to individuals working in these states. The anticipated pay range for Colorado is: $ 69900 - $102520 The anticipated starting pay range for California New York City and Washington is: $ 81500 - 119460 Based on eligibility compensation for the role may include variable compensation in the form of bonus commissions or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set level of experience licenses and certifications and specific work location. Information on benefits offered is here. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges designing solutions that scale building and managing those solutions and optimizing returns into the future. Named a best place to work year after year according to Fortune Forbes and Glassdoor we attract and develop world-class talent. Join us on our mission to embrace technology empower customers and deliver the future. More on Rackspace Technology Though we’re all different Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age color disability gender reassignment or identity or expression genetic information marital or civil partner status pregnancy or maternity status military or veteran status nationality ethnic or national origin race religion or belief sexual orientation or any legally protected characteristic. If you have a disability or special need that requires accommodation please let us know. #LI-RL1 #US-Remote

Company Overview Pantheon Data (a Kenific Holding company) is a private small business based in the Washington DC area. Pantheon Data was founded in 2011 initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years including infrastructure resiliency contact center operations information technology software engineering program management strategic communications engineering and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS) the Department of Defense (DoD) and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking a Senior AI/ML Engineer to join our team supporting a U.S. Navy digital transformation project. The ideal candidate will have deep technical expertise in developing training and deploying machine learning models to solve complex problems in engineering and logistics domains. This role requires hands-on technical work as well as collaboration with product manager data engineers and Navy stakeholders to ensure solutions align with mission needs and operate effectively within DoD environments. Responsibilities Develop and deploy AI models and algorithms on Azure or AWS platforms to deliver scalable and reliable AI solutions. Collaborate with program managers and other team members to understand business requirements and translate them into technical specifications and AI solutions. Design build and optimize AI pipelines data ingestion preprocessing model training and deployment workflows on cloud platform. Conduct research and stay up to date with the latest AI technologies frameworks and tools offered by Azure and AWS. Evaluate and recommend the most suitable AI services based on project requirements and constraints. - Implement and optimize distributed computing and parallel processing techniques to handle large-scale datasets and high-performance AI models. Ensure security privacy and compliance of AI solutions by following best practices and cloud platform guidelines. Collaborate with DevOps/MLOps teams to automate the deployment scaling and monitoring of AI applications on Azure or AWS. Required Skills and Experience A Bachelor of Science (BS) degree in Information Technology Cybersecurity Data Science Information Systems or Computer Science from an ABET accredited or CAE designated institution. Security+ Certification Experience in cloud infrastructure development: AWS and Azure. Experience in one or more of the ML model development libraries: TensorFlow PyTorch scikit-learn etc. Experience with Terraform and Docker is a plus. Strong experience with NoSQL Python and basic Linux. 6+ years professional hands-on experience in an AI/ML engineering role. Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations. Detail-oriented self-motivated and organized. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook Word Excel SharePoint and PowerPoint. Preferred Skills and Experience Working knowledge of Agile Scrum methodology. AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus. Experience using big data technologies (Hadoop Hive HBase Spark EMR etc.) SQL relational and non-relational databases. Demonstrated experience with ML Flow and Databricks. Demonstrated experience using AI for software development (Vibe Coding) Experience with unit testing/integration testing is a plus. Experience developing code within a government hosted environment. Clearance Requirements U.S. Citizenship with the ability to obtain and maintain a DoD Secret clearance. Work Location: United States - Remote Our company prioritizes the benefits of flexibility and collaboration whether that happens in person or remotely. If the position is remote or hybrid you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site you'll work with colleagues and clients in person as needed for specific client requirements. Compensation The salary range for this position is $140000 - $180000. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits we also offer SmartBenefits through the Washington Metro Area Transportation Authority where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state local or international law. As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information click here E-Verify Participation Poster

Company Description When you join Turnitin you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years Turnitin has partnered with educational institutions to promote honesty consistency and fairness across all subject areas and assessment types. Over 21000 academic institutions publishers and corporations use our services: Feedback Studio Originality Gradescope ExamSoft Similarity and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States Mexico United Kingdom Australia Japan India and the Philippines. Turnitin LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious helpful and independent scientists and engineers united by a commitment to deliver cutting-edge well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system gives automated feedback on student writing investigates authorship of student writing revolutionizes the creation and grading of assessments and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures loss functions training methods training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms we also write our own training loops. Additionally the models need to be directly deployable in our products therefore production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration generation (synthetic) design construction and analysis are a routine part of the job and may occupy a significant fraction of your time. Also datasets can be large (billions of samples) therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance code hardening (preparing the model and code for production pipelines) developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team other Engineering teams subject matter experts Product Management Marketing Sales and Customer support to explore ongoing product issues challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize adopt and fine-tune off the shelf models including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers experiment with new architectures and LLMs and share your findings. Write clean efficient and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms make good technological choices and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights as well as the behavior and limitations of models to peers subject matter experts and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science Electrical Engineering AI Machine Learning applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML) Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS ICML ICLR AAAI TMLR JMLR IJCAI ICANN KDD ACL EMNLP NAACL COLING CVPR ICCV ECCV IEEE etc. Machine / Deep Learning development skills including popular platforms (we use AWS SageMaker Hugging Face Transformers PyTorch PyTorch Lightning Ray scikit-learn Jupyter Weights & Biases etc.). An understanding of Language Models using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We’re an applied science group therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio Streamlit Dash or more standard React Javascript Flask) for simple demos POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM using industry accepted platforms. Showcase previous work (e.g. via a website presentation open source code). Familiarity in coding for at-scale production ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111000/year to $185000/year. This position is bonus eligible / commission-based. As a Remote-First company actual compensation will be provided in writing at the time of offer if extended and is determined by work location and a range of other relevant factors including but not limited to: experience skills degrees licensures certifications and other job-related factors. Internal equity market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education and thriving in an organization that is free of politics and full of humble inclusive and collaborative teammates the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products the way we treat each other and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos collaborate effectively and celebrate each other’s successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage Education Reimbursement Competitive Paid Time Off 4 Self-Care Days per year National Holidays 2 Founder Days + Juneteenth Observed Paid Volunteer Time Charitable contribution match Monthly Wellness or Home Office Reimbursement Access to Modern Health (mental health platform) Parental Leave Retirement Plan with match/contribution varies by country Seeing Beyond the Job Ad At Turnitin we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us join our team! Turnitin LLC is committed to the policy that all persons have equal access to its programs facilities and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Job Title: Machine Learning Engineer Location: Yogichowk Surat (Remote option available) Experience Required: Minimum 2 years Employment Type: Full-time Job Summary We are seeking a highly motivated Machine Learning Engineer with at least 2 years of hands-on experience in developing deploying and optimizing ML models. The ideal candidate should have strong problem-solving skills experience with production-level ML systems and the ability to collaborate with cross-functional teams to deliver AI-driven solutions. Key Responsibilities Design develop and deploy machine learning models to solve real-world business problems. Collect preprocess and analyze large datasets for training and testing ML algorithms. Build and optimize data pipelines to support scalable model development and deployment. Implement test and maintain ML models in production (MLOps practices preferred). Collaborate with data scientists software engineers and business stakeholders. Monitor and improve model performance accuracy and efficiency. Stay updated with the latest advancements in AI ML NLP and deep learning. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science Data Science AI/ML or related field. Minimum 2 years of hands-on experience as an ML Engineer Data Scientist or similar role. Proficiency in Python and ML frameworks such as TensorFlow PyTorch or Scikit-learn. Strong understanding of machine learning algorithms deep learning NLP and data preprocessing techniques. Experience with SQL/NoSQL databases and handling large datasets. Familiarity with cloud platforms (AWS GCP or Azure) and containerization (Docker Kubernetes) is a plus. Good understanding of MLOps model deployment and monitoring tools. Strong problem-solving skills and ability to work in a team-oriented environment. Nice-to-Have (Preferred) Experience with big data tools (Spark Hadoop). Exposure to Generative AI / LLMs (OpenAI Hugging Face LangChain). Knowledge of DevOps practices for ML (CI/CD pipelines for ML models). Contributions to research papers open-source projects or Kaggle competitions. Job Types: Full-time Freelance Contract length: 3 months Pay: From ₹1280.00 per hour Expected hours: 50 per week Benefits: Work from home Work Location: Remote

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. In this role you will create rapid proofs of concept to test hypotheses about how emerging technologies can be applied to business use cases. We learn and explore at the forefront of Artificial Intelligence Blockchain Internet of Things Robotics Virtual Reality and Augmented Reality. The lab’s role is to generate prototypes demos and learnings that our teams and clients can use when deciding how to apply and invest in emerging technologies. The majority of the resources would be supporting the development of assets (e.g. plugins) to further drive our overall AI strategy across the firm. In addition to that we have ongoing AI R&D initiatives that we’d look to leverage some of these roles to help us continue driving the initiatives. Responsibilities: Development and training of transformer-based models for both text and images. Architect and oversee the entire model lifecycle from data preparation model design training development and validation to model deployment and monitoring. Collaborate with cross-functional teams including data scientists software engineers and domain experts to design and implement AI-driven solutions. Stay current with the latest advancements in AI and machine learning integrating new techniques and technologies as appropriate. Requirements: Bachelor’s or Master’s degree in Computer Science Data Science or a related field. Strong expertise with large scale Neural Networks Deep Learning and Reinforcement Learning techniques. Experience with Probabilistic Graphical Modelling (Bayesian Networks Markov Random Fields Factor Graphs ...) Advanced knowledge of Python and machine learning frameworks (SciPy Scikit-learn TensorFlow PyTorch pyMC pgmpy ...) Hands-on experience with one or more cloud computing platforms (Azure - preferred AWS GCP). Understanding of the whole ML lifecycle and experience with MLOps/DataOps. Experience with Probabilistic Graphical Modelling (Bayesian Networks Markov Random Fields Factor Graphs ...) Excellent problem-solving skills and ability to work independently in a fast-paced environment Strong communication skills and ability to collaborate effectively with team members and external partners fluent English What do we offer you? Attractive salary Large freedom and real influence No unhealthy competition team approach to meeting challenges Remote work model Company apartments in cool cities across Europe: work and enjoy a memorable getaway We are a software house with a 18-year history a rich portfolio projects all over the world and an appetite for more. We have built our brand on professionalism and flexibility in delivering software solutions. We are not afraid of unconventional ideas and value innovation and imaginative change. Job Type: Full-time Pay: £45000.00-£102000.00 per year Benefits: Casual dress Company events Employee mentoring programme Flexitime Work from home Experience: Data Science: 3 years (required) Work Location: Remote

Who is Serotonin Serotonin is the top go to market firm for transformative technologies specializing in marketing strategy recruiting and legal services. With a global team of 90 across 15 countries Serotonin has supported over 300 clients in consumer tech web3 infrastructure digital assets venture capital and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations growth marketing on-chain analytics content research social and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform serving as a central nucleus for the web3 ecosystem connecting builders and founders with essential resources to drive business growth. About the Role We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. ### Responsibilities Build and maintain data pipelines that power both ad-hoc analyses and production dashboards Develop statistical models and data science solutions while also implementing the infrastructure to deploy them Create self-serve analytics tools and datasets that empower stakeholders across the organization Design experiments and perform statistical analyses to measure product and marketing initiatives Build data models in our warehouse that balance analytical flexibility with performance Partner directly with product marketing and leadership teams to identify opportunities and measure impact Own the full lifecycle of data products - from initial exploration to production deployment ### Requirements: Core Technical Skills Strong experience with modern data stack tools (e.g. dbt Airflow/Dagster Snowflake BigQuery Redshift or similar) Proven ability to design and manage ETL pipelines and database architectures Advanced SQL skills and high proficiency in Python for both data analysis and engineering Understanding of data modeling principles (Kimball Data Vault or similar) Experience with cloud data platforms (AWS GCP or Azure) ### Requirements: Analytical & Data Science Expertise Strong statistical analysis skills with hands-on experience using Python data science stack (pandas NumPy scikit-learn) Experience with A/B testing causal inference and experimental design Ability to communicate complex findings to non-technical stakeholders Track record of using data to influence business strategy ### Requirements: Blockchain & Web3 Experience Hands-on experience with blockchain data extraction transformation and analysis Understanding of EVM concepts (transactions events smart contracts) and/or non-EVM ecosystems Ability to work with on-chain data to derive actionable insights ### Bonus Points Experience with marketing analytics and attribution modeling Familiarity with data from providers like Dune Arkham GoldSky Flipside or similar Previous experience in data roles within blockchain/Web3 organizations Experience with data visualization tools (Tableau Looker or similar) ### This position is ideal for someone who... Gets excited about both building robust data infrastructure AND discovering insights Wants ownership over the entire data value chain Thrives in environments where they can wear multiple hats Values being able to see their analyses through to production impact ### Benefits Competitive Salary Health Insurance - (US Only) 401(k) - (US Only) Remote Work Environment Maternity/Paternity Leave Final compensation offer for this role will be commensurate with experience and qualifications relevant to the position. Final salary will reflect the candidate’s skills background and overall fit for the role.

About CommandLink CommandLink is a global SaaS Platform providing network voice services and IT security solutions helping corporations consolidate their core infrastructure into a single vendor and layering on a proprietary single pane of glass platform. CommandLink has revolutionized the IT industry by tackling the problems our competitors create. In recognition for our unprecedented innovation and dedication CommandLink was recognized as the SD-WAN Product of the Year ITSM Visionary Spotlight UCaaS Product of the Year NaaS Product of the Year Supplier of the Year and the AT&T Strategic Growth Partner. CommandLink has built the only IT platform for scale that solves ISP vendor sprawl and IT headaches. We make it easy for our customers to get more done maximize uptime and improve the bottom line. Learn more about us here! This is a 100% remote position About your new role: We are seeking a highly skilled Data Scientist with a strong focus on machine learning model development and deployment. In this role you will design build and operationalize predictive models that drive business impact across our platform. You’ll work closely with engineering product and business teams to turn complex data into scalable production-ready solutions. Key Responsibilities: Design develop and validate machine learning models for classification regression recommendation NLP or time-series use cases. Own the full ML lifecycle: data exploration feature engineering model selection training testing deployment and monitoring. Collaborate with data engineering teams to ensure data pipelines are optimized for modeling and production use. Deploy ML models into production environments ensuring scalability reliability and low-latency performance. Monitor and maintain deployed models performing re-training and tuning as needed to ensure continued accuracy and relevance. Work with product managers and stakeholders to translate business requirements into measurable ML solutions. Research and experiment with emerging ML algorithms frameworks and deployment strategies. What you'll need for success: 3+ years of professional experience as a Data Scientist or ML Engineer. Proven experience building and deploying machine learning models in production environments. Proficiency in Python (Pandas NumPy Scikit-learn PyTorch or TensorFlow). Strong knowledge of model deployment frameworks and tools (e.g. MLflow Kubeflow SageMaker Vertex AI or equivalent). Hands-on experience with cloud platforms (AWS GCP or Azure) for ML workflows. Solid understanding of data structures algorithms and applied statistics. Strong problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences. Advanced degree (MS or PhD) in Computer Science Data Science Statistics Operations Research or related field. Nice to Have Experience with MLOps best practices (CI/CD pipelines for ML monitoring and governance). Exposure to big data technologies (Spark Databricks Kafka). Background in deep learning NLP or computer vision applications. Why you'll love life at CommandLink Join us at CommandLink where you'll have the opportunity to shape the future of business communication. We value the innovative spirit and seek individuals ready to bring their unique vision and expertise to a team that values bold ideas and strategic thinking. Are you ready to make an impact? Room to grow at a high-growth company An environment that celebrates ideas and innovation Your work will have a tangible impact Generous Medical Dental and Vision coverage for full-time employees Flexible time off 401k to help you save for the future Fun events at cool locations Free DoorDash lunches on Fridays Employee referral bonuses to encourage the addition of great new people to the team Commandlink hires individuals in a number of geographic regions and the pay ranges listed reflect the cost of labor across these regions. The base pay for this position as displayed at the bottom of the job description is a range based on our lowest geographic region up to our highest geographic region. Pay is based on location among other factors such as skill-set experience and qualifications held. The pay range for this role is: 150000 - 250000 USD per year(Remote (United States))

Company Description When you join Turnitin you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years Turnitin has partnered with educational institutions to promote honesty consistency and fairness across all subject areas and assessment types. Over 21000 academic institutions publishers and corporations use our services: Feedback Studio Originality Gradescope ExamSoft Similarity and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States Mexico United Kingdom Australia Japan India and the Philippines. Turnitin LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious helpful and independent scientists and engineers united by a commitment to deliver cutting-edge well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system gives automated feedback on student writing investigates authorship of student writing revolutionizes the creation and grading of assessments and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures loss functions training methods training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms we also write our own training loops. Additionally the models need to be directly deployable in our products therefore production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration generation (synthetic) design construction and analysis are a routine part of the job and may occupy a significant fraction of your time. Also datasets can be large (billions of samples) therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance code hardening (preparing the model and code for production pipelines) developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team other Engineering teams subject matter experts Product Management Marketing Sales and Customer support to explore ongoing product issues challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize adopt and fine-tune off the shelf models including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers experiment with new architectures and LLMs and share your findings. Write clean efficient and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms make good technological choices and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights as well as the behavior and limitations of models to peers subject matter experts and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science Electrical Engineering AI Machine Learning applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML) Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS ICML ICLR AAAI TMLR JMLR IJCAI ICANN KDD ACL EMNLP NAACL COLING CVPR ICCV ECCV IEEE etc. Machine / Deep Learning development skills including popular platforms (we use AWS SageMaker Hugging Face Transformers PyTorch PyTorch Lightning Ray scikit-learn Jupyter Weights & Biases etc.). An understanding of Language Models using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We’re an applied science group therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio Streamlit Dash or more standard React Javascript Flask) for simple demos POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM using industry accepted platforms. Showcase previous work (e.g. via a website presentation open source code). Familiarity in coding for at-scale production ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111000/year to $185000/year. This position is bonus eligible / commission-based. As a Remote-First company actual compensation will be provided in writing at the time of offer if extended and is determined by work location and a range of other relevant factors including but not limited to: experience skills degrees licensures certifications and other job-related factors. Internal equity market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education and thriving in an organization that is free of politics and full of humble inclusive and collaborative teammates the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products the way we treat each other and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos collaborate effectively and celebrate each other’s successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage Education Reimbursement Competitive Paid Time Off 4 Self-Care Days per year National Holidays 2 Founder Days + Juneteenth Observed Paid Volunteer Time Charitable contribution match Monthly Wellness or Home Office Reimbursement Access to Modern Health (mental health platform) Parental Leave Retirement Plan with match/contribution varies by country Seeing Beyond the Job Ad At Turnitin we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us join our team! Turnitin LLC is committed to the policy that all persons have equal access to its programs facilities and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Job Summary: We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Your insight and expertise will help our delivery teams build ML solutions and build solutions across Data Science Machine learning Generative AI databases security and automation. In addition you will work with mid-tier technologies that include application integration security and much more! This position is ideal for candidates with a strong foundation in machine learning principles data processing and software engineering. You will support the design development and deployment of ML models and pipelines as well as assist in ingesting and transforming data for machine learning use cases. Work Location: Remote ### Key Responsibilities: + Assist in developing training and validating machine learning models for real-world applications (e.g. classification prediction and recommendation systems). + Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools + Perform data cleaning normalization and feature engineering to prepare high-quality datasets for ML training and evaluation. + Collaborate on ML projects such as outcome prediction systems image classification models and intelligent search interfaces. + Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g. React Django REST APIs). + Participate in MLOps workflows including model versioning basic deployment tasks and experiment tracking. + Document data flows ML experiments and application logic consistently. + Attend Agile meetings and collaborate with peers through code reviews and sprint activities. ### Required Qualifications: + Bachelor’s degree in Computer Science Data Science Statistics Engineering or a related field. + Experience in machine learning data engineering or software development roles (internships or academic projects acceptable). + Solid understanding of supervised learning classification and data preprocessing techniques. + Experience with data engineering concepts including SQL PostgreSQL and REST API integration + Basic knowledge of data ingestion and transformation concepts. + Proficiency in Python and common ML libraries (e.g. scikit-learn pandas NumPy TensorFlow or PyTorch). + Familiarity with full-stack or web-based ML applications (e.g. React Django or Android Studio projects). + Familiarity with SQL and data wrangling tools. + Experience with version control tools like Git. + Strong problem-solving skills and attention to detail. + Effective communication and documentation skills. + Enthusiasm for learning new tools and growing within a collaborative team environment ### Preferred Qualifications: + Exposure to cloud platforms such as AWS GCP or Azure. + Experience with pyton Spark Airflow or data pipeline frameworks. + Understanding of basic data architecture concepts (e.g. data lakes warehouses). + Participation in ML/DS projects hackathons or Kaggle competitions. ### Sponsorship + This role is not sponsorship eligible + Candidates need to be legally allowed to work in the US for any employer The following information is required by pay transparency legislation in the following states: CA CO HI NY and WA. This information applies only to individuals working in these states. The anticipated pay range for Colorado is: $ 69900 - $102520 The anticipated starting pay range for California New York City and Washington is: $ 81500 - 119460 Based on eligibility compensation for the role may include variable compensation in the form of bonus commissions or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set level of experience licenses and certifications and specific work location. Information on benefits offered is here. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges designing solutions that scale building and managing those solutions and optimizing returns into the future. Named a best place to work year after year according to Fortune Forbes and Glassdoor we attract and develop world-class talent. Join us on our mission to embrace technology empower customers and deliver the future. More on Rackspace Technology Though we’re all different Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age color disability gender reassignment or identity or expression genetic information marital or civil partner status pregnancy or maternity status military or veteran status nationality ethnic or national origin race religion or belief sexual orientation or any legally protected characteristic. If you have a disability or special need that requires accommodation please let us know. #LI-RL1 #US-Remote

J-VERS is a programmatic job advertising agency that helps employers find the right candidates in any industry by optimizing the hiring process. Founded in 2023 the company has grown 5x building a fully remote team that serves over 150 enterprise clients across the US and EU through AI-powered advertising technology. About the product - We are an innovative programmatic job advertising startup building intelligent solutions that optimize recruitment marketing campaigns. Our mission is to leverage cutting-edge machine learning and AI to maximize campaign efficiency and improve hiring outcomes at scale. We've recently finished the MVP stage and are now scaling the product. A great chance to join a small startup team (CTO 4 Developers QA Developer DevOps Engineer and Product Owner) and have a real impact on its development Technical stack: Python 3.11+ FastAPI Postgres Kafka Kubernetes TypeScript React AWS. What You'll Be Doing: - Design build test and deploy ML models that automate and optimize campaign performance Develop and maintain scalable ML pipelines ensuring reliability and performance in production Integrate LLMs into our existing platform to enable intelligent features such as CV pre-screening and automated marketing content generation Research design and adapt ML algorithms to address business-specific challenges in recruitment advertising Collaborate with product and engineering teams to integrate AI services into production systems Experiment with reinforcement learning approaches to dynamically tune and optimize campaign performance Continuously improve models and pipelines with monitoring retraining and evaluation workflows. ### Your Skills: Strong background in Python and ML libraries (TensorFlow or PyTorch Scikit-learn pandas) Hands-on experience with classic ML algorithms (classification regression clustering) as well as deep learning architectures Familiarity with LLMs prompt engineering Experience building production-ready ML pipelines Strong skills in Docker and AWS for deployment and scaling Knowledge of reinforcement learning techniques (advantage) Ability to conduct applied research and adapt state-of-the-art models to real-world problems Strong problem-solving and communication skills comfortable working in a fast-moving startup environment. ### Will be a plus: NLP fundamentals Knowledge of MLOps frameworks (e.g. MLflow Kubeflow SageMaker). ### Key Projects You'll Work On: LLM-powered CV prescreening service to automate candidate shortlisting Automated marketing campaign generator Reinforcement learning engine to dynamically optimize campaign spend and performance in real time. You'll thrive at J-Vers if you: - Self-motivated and comfortable with autonomy Passionate about using technology to solve real problems Open to collaboration and knowledge sharing Results-oriented and focused on impact Curious and committed to continuous learning. Why Join Us: Work Without Limits: Remote-first team with no location limits Flexible 8-hour workday Flat structure with direct access to leadership Full set of equipment provided for your comfortable work. Get Rewarded & Supported: Competitive compensation with transparent salary bands Health insurance after 3 months of work Mental health support 24 vacation days + 20 paid sick days + 4 no-doc sick days + company-wide one-week break at year-end. Endless Opportunities to Grow: Personal learning budget for professional development Clear growth paths from Junior to Senior Work with global clients (US & EU) Culture of feedback mentorship and constant learning. Hiring Process: - Intro call with a recruiter Values-based interview Technical interview Final interview with CTO Recommendation At J-Vers you're not just filling a job — you're joining a mission. We're building something extraordinary where technology and humanity combine to transform hiring. Flex your skills. Expand your impact. Shape the future of global hiring. Read more about us on Happy Monday (https://happymonday.ua/company/j-vers)