AI & Data Science Consultant

Responsibilities

• Lead discovery, envisioning and delivery of AI, Data Science, Machine Learning, Agentic AI and Semantic Layer opportunities alongside EPAM teams and clients
• Run client-facing consulting engagements to understand business challenges, pinpoint high-value AI use cases and translate them into practical technical solutions
• Design and shape AI products that integrate Data Science, ML, Generative AI, Semantic Layer, RAG, agents, analytics and MLOps to deliver measurable business value
• Serve as a bridge between business stakeholders, data scientists, ML engineers, data engineers, architects, DevOps and product teams
• Define solution concepts, target architectures, delivery roadmaps, MVP scopes and productionization approaches for AI-enabled products
• Support pre-sales, discovery, workshops, solution definition, estimation and proposal development for AI, ML and Data Science opportunities
• Contribute to EPAM offerings across AI, Data Science, ML Engineering, MLOps, Agentic AI, Semantic Layer, RAG and AI governance
• Apply a strong engineering mindset to turn AI ideas into reliable, scalable, secure and production-ready solutions
• Partner closely with DevOps, Cloud, Data Engineering and Architecture practices on infrastructure, deployment, observability, release planning and operational readiness
• Mentor and guide cross-functional teams, fostering capability growth in AI, Data Science, ML Engineering and applied GenAI

Languages