AI & Data Science Consultant

About the Position

We are seeking an AI & Data Science Consultant to lead discovery, envisioning, and delivery of AI, Data Science, Machine Learning, Agentic AI, and Semantic Layer opportunities alongside EPAM teams and clients. This position blends strategic consulting with practical engineering expertise to convert business challenges into scalable, production-ready AI solutions that generate measurable value. Please note that this position supports remote work, but only from within Ukraine.

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

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
• Proven record of delivering AI/ML solutions from concept to production, with exposure to 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
• Demonstrated history 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

• Background in managing, mentoring, or scaling AI/Data Science teams
• Flexibility to use cloud and DevOps tooling for infrastructure, security, release planning, and production readiness
• Demonstrated contributions to AI governance practices and enterprise-scale GenAI adoption

We Offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs, and communities (both technical and interest-based)
• Focus on your professional growth:
  • Plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract, and other partner resources
  • Study at EPAM Solution Architecture School with practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school, and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events, and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children