Job Description, Responsibilities & Requirements
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About the Position
We are looking for an AI & Data Science Consultant to drive discovery, envisioning, and delivery of AI, Data Science, Machine Learning, Agentic AI, and Semantic Layer opportunities together with EPAM teams and clients. The role combines strategic consulting with hands-on engineering expertise to translate business challenges into scalable, production-ready AI solutions that deliver measurable value.
Responsibilities
- Drive discovery, envisioning, and delivery of AI, Data Science, Machine Learning, Agentic AI, and Semantic Layer opportunities together with EPAM teams and clients
- Lead client-facing consulting engagements to understand business challenges, identify high-value AI use cases, and translate them into practical technical solutions
- Design and shape AI products that combine Data Science, ML, Generative AI, Semantic Layer, RAG, agents, analytics, and MLOps to deliver measurable business value
- Act 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 in AI, Data Science, ML Engineering, MLOps, Agentic AI, Semantic Layer, RAG, and AI governance
- Bring a strong engineering mindset to convert AI ideas into reliable, scalable, secure, and production-ready solutions
- Collaborate closely with DevOps, Cloud, Data Engineering, and Architecture practices on infrastructure, deployment, observability, release planning, and operational readiness
- Mentor and guide cross-functional teams, supporting capability growth in AI, Data Science, ML Engineering, and applied GenAI
Requirements
- 3+ years of hands-on experience in Data Science, Machine Learning, or Applied AI
- Background in exploring business problems, identifying AI opportunities, and converting them into applied AI, Data Science, ML, or GenAI solutions
- Expertise in pre-sales, solution shaping, and discovery workshops, including stakeholder interviews, roadmap definition, and proposal preparation
- Capability to explain complex AI concepts to business and technical audiences, including C-level stakeholders
- Understanding of supervised and unsupervised learning, model evaluation, feature engineering, experimentation, and production model lifecycle
- Proficiency in at least one advanced AI domain: NLP, Computer Vision, Forecasting, Optimization, Advanced Analytics, Recommendation Systems, or Predictive Modeling
- Knowledge of RAG, LLM applications, prompt engineering, evaluation, hallucination reduction, and grounding techniques
- Competency in agentic architectures, multi-agent workflows, tool use, orchestration, memory, and control-plane concepts
- Skills in Semantic Layer concepts, business metrics modeling, metadata, knowledge graphs, ontology/taxonomy design, and enterprise context management
- Familiarity with LangChain, LangGraph, and LlamaIndex; CrewAI, DSPy, and Semantic Kernel; Vector DBs, MLflow, Kubeflow, Databricks, or Snowflake
- Background in delivering AI/ML solutions from concept to production, with familiarity in MLOps, LLMOps, and CI/CD for ML, plus model monitoring, observability, and data pipelines
- Understanding of data platforms, data engineering, data quality, governance, and scalable analytics architectures, including APIs, cloud platforms, and containerized deployment
- Track record of leading complex AI, ML, or data-driven programs in a consulting or client-facing role
- Excellent communication, active listening, writing, storytelling, and presentation skills, combined with a problem-solving mindset, creativity, ownership, high EQ, and ability to operate in ambiguous environments
Nice to Have
- Experience managing, mentoring, or scaling AI/Data Science teams
- Flexibility to use cloud and DevOps tooling for infrastructure, security, release planning, and production readiness
- Showcase of contributions to AI governance practices and enterprise-scale GenAI adoption
We Offer
- Remote work in Ukraine
- Opportunity to work with leading EPAM teams and clients
About the Company
EPAM is a global software engineering and product development company that partners with the world’s leading businesses to deliver end-to-end technology solutions.