Top AI & Machine Learning Jobs

Own end-to-end decision intelligence product domains: build, deploy, and monitor ML models and behavioral signals; lead experimentation and causal measurement; develop generative AI solutions and personalization; partner with product and engineering to define roadmaps and reusable ML platform assets that drive measurable business outcomes.

The role involves designing, building, and maintaining an MLOps platform, developing workflows for ML applications, and integrating various technologies while supporting agile teams.

Design, build, and operationalize ML and Generative AI solutions (including LLMs, RAG, and agentic AI) across the model lifecycle. Collaborate with data, engineering, and product teams to deploy scalable models on cloud platforms, implement MLOps/CI-CD, create APIs and lightweight UI prototypes, and ensure governance, monitoring, and responsible AI practices.

The Director of AI & Data Science will lead AI/ML initiatives, manage the Model Development Life Cycle, and mentor technical teams, while overseeing core AI technical solutions and standards.

The Senior Associate - Data Scientist will develop AI and machine learning solutions, focusing on model lifecycle management and delivering AI initiatives in collaboration with business teams.

The AI Solution Architect designs enterprise architectures for AI solutions, ensuring they align with business objectives and technology standards while guiding implementation and governance.

As a Data Science Lead, you'll drive AI/ML initiatives, mentor data scientists, collaborate with stakeholders, and ensure effective model deployment and governance.

Contribute to enterprise AI initiatives by developing, validating, and operationalizing ML and generative/agentic AI solutions. Work across the model lifecycle (data exploration, feature engineering, training, deployment, monitoring) using AWS, Snowflake, and Databricks; implement LLM/RAG approaches, APIs, lightweight UI prototypes, and adhere to responsible AI, governance, and MLOps practices.

As an AI Product Insights Analyst, you'll develop AI-enabled analytics frameworks, manage data models, and collaborate to enhance decision-making through Generative AI applications.

The role involves model validation, monitoring AI model performance, challenging model developers, and translating technical requirements into practical evaluations and controls for AI and ML models.