Data Science & Machine Learning Jobs

Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Deliver clear, compelling insights to both technical and non- technical audiences through storytelling and data visualization. Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms. Experience with NLP, recommendation systems, or time-series forecasting.

Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.. Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).. Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms.. Experience with NLP, recommendation systems, or time-series forecasting.

Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.. Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).. Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms.. Experience with NLP, recommendation systems, or time-series forecasting.

We are looking for a Senior Machine Learning Engineer, Deployment focused on Deep Learning/Computer Vision. Hands-on, real-world experience with one or more of Computer Vision, Machine Learning, Deep Learning. Hands-on experience on Model Compression techniques such as Quantization, Pruning, Distillation. Proficiency in ML frameworks like PyTorch, Tensorflow, Keras, etc. Experience with one of the following frameworks: Qualcomm SNPE, Tensorflow Lite, CoreML or other similar Edge Inference/NN Acceleration frameworks.

Syntes AI, Inc. is the creator of the Syntes AI software platform—a cloud-based solution for Multi-Domain Data Management and Data Analytics using Artificial Intelligence and Machine Learning technologies. Bachelor's or Master's degree in Applied Mathematics, Computer Science, Artificial Intelligence, Machine Learning, or a related field. Solid understanding of mathematical and data processing techniques: linear algebra, graph theory, vector and matrix calculations, probability theory, and statistical analysis; advanced Excel skills for data analysis. Knowledge of machine learning concepts and algorithms: knowledge representation, problem-solving, uncertain logic, neural networks, natural language processing, deep learning, reinforcement learning, large language models, and generative models. Knowledge of containerization and orchestration technologies like Docker and Kubernetes.

Founded in 2016, we are a fully funded startup building the world's largest sports network offering live streaming and on-demand sporting events available via subscription based services.. Experience with machine learning frameworks such as TensorFlow, Keras, and OpenCV. MS/PhD with a thesis in the fields of Computer Vision / Deep Learning. Experience with LLM Models for Video understanding. Experience with deep temporal models (LSTM, GRU)

TS/SCI Machine Learning Engineer. Our client, a 100+ staff, Series C Deep Learning SaaS startup is seeking a ML Engineer with TS/SCI Clearance to deliver best-in-class Predictive Maintenance solutions to the Department of Defense.. Python data science stack (pandas, NumPy, scikit-learn, PyTorch, etc.. Task schedulers (Celery, Airflow, Prefect) & web-app stacks (Flask/Django). Experience in Cyber Analytics, Predictive Maintenance or Supply Chain Optimization would be a nice to have

We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Sportsbook, Borgata online, Party Casino and Party Poker. Ability to write complex SQL queries and work with large-scale datasets (experience with Snowflake a plus).. Demonstrated experience with statistical analysis, including regression, clustering, predictive modeling, Bayesian methods, and inferential statistics.. Gaming Compliance & Licensing Requirements

Key Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications MS or Ph. D. in Computer Science, Electrical Engineering, Machine Learning or related technical field. Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform.

Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Develop and optimize machine learning models for recommendation engines, utilizing techniques such as collaborative filtering, content-based filtering, and deep learning. Contribute to the design and implementation of robust APIs and services, primarily in Python, Go, and TypeScript, to support recommendation features across our apps (Inkitt, Galatea, and GalateaTV). Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with distributed systems and cloud infrastructure, such as AWS, GCP, or Azure.

We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Education: Ph. D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field.. Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar. Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes).

Master's degree in Statistics, Physics, Applied mathematics, Operations Research, Economics or equivalent practical experience. 3 years of experience in solving product or business problems using advanced investigative, machine learning, artificial intelligence, or statistical methods including coding (e.g., Python, R, or SQL). Experience in Generative AI, machine learning, Natural Language Processing (NLP), and LLMs, including feature engineering, data pipelines, and causal inference. Ability to work with cross-functional teams to drive development and deployment of Generative AI and Large Language Model (LLM). Work with cross-functional teams to Artificial Intelligence/Machine (AI/ML) tests and opportunities, leveraging Large Language Models (LLMs) for text analysis and knowledge extraction, and translating business needs into analysis and evaluation metrics.

Conduct research and experimentation to optimize LLMs, NLP models, and multimodal approaches for healthcare tasks. PhD in Data Science, Computer Science, Machine Learning, Computational Linguistics, or related fields; or Master's degree combined with equivalent relevant industry experience. 8+ years of experience applying machine learning and AI to real-world problems, with a focus on NLP and LLMs. Proficiency with Python, SQL, and popular data science libraries such as pandas, NumPy, scikit-learn, and PyTorch. Proven experience with generative AI and NLP methods, including prompt engineering, embeddings/vector databases, retrieval-augmented generation (RAG), LLM evaluation, and fine-tuning techniques.

We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering.. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.. Proficiency in Python, PyTorch/TensorFlow, Spark, BigQuery. Passion for Large language models, NLP, and Machine Learning at scale. MTV - [Free] Electric Car Charging Station

The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools.. Develop, test, and implement machine learning models for predictive analytics.. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.. Experience with data visualization tools like Tableau, Power BI, or similar.. Strong understanding of deep learning, natural language processing, and computer vision.

AEEC is seeking a Principal Artificial Intelligence/Machine Learning Scientist with neural networks deep learning experience who will lead a small team of AI scientists in solving AI problems and advancing AI techniques, science and research agendas of AI in one or more areas.. Ph. D. in a quantitative science: Computer Science, Math, Electrical Engineering, Statistics, or relevant program with major in AI, Machine Learning, or Computational Linguistics. Artificial Intelligence / Machine Learning Research and Development Engineer. Principal Associate, Data Scientist - Shopping AIPrinciple Geospatial Scientist (Data Collection/Quality Manager)Lead Data Scientist & Deputy Program ManagerManaging Consultant Financial Modeler Data ScientistDelivery Consultant – Communications Apps, Data and Machine Learning, WWPS US FederalDelivery Consultant – Communications Apps, Data and Machine Learning, WWPS US FederalArtificial Intelligence/Machine Learning (AI/ML) Engineer. AI Research Scientist: AEC. Remote US or CanadaSenior Healthcare Data Scientist - AI/ML, Stats, OR

As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale).. Address large scale challenges in the machine learning development cycle, especially around distributed training and inferencing environment in the cloud and data engineering.. Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks.. CUDA is a plus, experience with AWS as well.. (Optional) Real-time traffic and autonomous vehicle simulation experience with e.g. Unity, CARLA etc.

Natural language (NLP) models within Generative AI / LLMs. General ML engineering skills and statistical analysis methods, such as classification, association rules, sentiment analysis, topic modeling, time-series analysis, statistical inference, text analytics, data mining and validation methods. Proficiency in Python for both quantitative analysis and data engineering, and at least one NLP toolkit such as Spacy, OpenNLP, CoreNLP, gensim, NLTK, etc.". Familiarity with neural net architectures, and developing models using tools such as Tensorflow or PyTorch. Familiarity with AWS Connect and Contact Lens

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field. Hands-on experience in building and deploying AI/ML models, focusing on Generative AI, LangChain and NLP In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals. Rigorous knowledge of Python programming to develop software.. Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes) and optimizing data pipelines.. Experience with NoSQL is a plus Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) and UNIX shell scripting Experience with GitHub and leveraging CI/CD pipelines

This position contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and works as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.. Work with stakeholders to discover requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.. Contribute to the execution of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.. Demonstrated knowledge of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage.