remote
Consultant, Data Analytics - EPAM Systems
Software Engineer
Lead end‑to‑end AI projects, from pre‑sales concept to production, driving enterprise ML/GenAI solutions on AWS while collaborating with cross‑functional teams to deliver measurable business impact.
About the role
Key Responsibilities
- Own the full AI lifecycle: ideation, proof‑of‑concept, and production deployment for enterprise clients.
- Lead pre‑sales engagements, crafting technical solutions and value propositions that align with client business goals.
- Architect and implement scalable ML/GenAI pipelines on AWS, ensuring performance, security, and compliance.
- Mentor and coach technical teams, fostering best practices in data engineering, model development, and DevOps.
- Collaborate with product and business stakeholders to translate insights into market‑ready AI offerings.
Requirements
- 5+ years of experience in AI/ML engineering with a strong focus on production deployments.
- Hands‑on experience with Generative AI models and large‑scale data pipelines.
- Excellent communication skills and proven ability to lead cross‑functional teams.
- Strong business acumen and experience driving commercial outcomes in a consulting environment.
Skills
pythonmachine learninggenerative aiaws