Sergey Sergeev
Director of Ai, Genai and Mlops @EPAM Systems
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WORK HISTORY
Director of Ai, Genai and Mlops @EPAM Systems
Toronto, ON, CA
In charge of delivering large scale, end-to-end GenAI (including Agentic), Data and ML solutions on the major tech stacks (AWS, GCP, Azure) across North America• Acting Technical Lead and Product Owner on large engagements for Infrastructure, Energy, Finance, IT, and other strategic initiatives focused on GenAI, Data Science and Machine Learning• Co-owner and co-creator of internal EPAM offerings in areas such as ML Ops, GenAI, Responsible AI and general Machine Learning space • Leading a team of 30+ seasoned Data Scientists and ML Engineers delivering cutting edge AI products for our customers• Working directly with AWS / GCP / Azure on Partner Funded Projects, and developing human talent at EPAMHighlighted Initiative- Leading Data Science efforts for a multi-year digital program for one of the largest oil services firm. The Data Science stream is 20+ data scientists, engineers and developers and is focused on prescriptive and predictive maintenance for equipment including 10+ ML Models, Agentic, and GenAI capabilities
EDUCATION
CSI
CSC, PDO, FLC, OTSC, OPSC, OLC, DFC, FP1, FP2
University of Michigan
Certification, Data Science
Queen's University
MBA
Six Sigma
Green Belt, Business Operations
The Johns Hopkins University
Certification, Data Science
University of Toronto
Bachelor of Commerce (B.Com.), Finance
ABOUT SERGEY SERGEEV
As a seasoned Senior Data Analytics Leader, I specialize in extracting tangible value from data,leveraging a blend of technical expertise and a touch of magic. With a robust 15-year journey inthe data realm, my focus on Financial Services has expanded to orchestrating multi-million-dollar initiatives in GenAI, Data Engineering, Science, and ML Ops for global clients.My track record includes steering ML-driven transformations in the energy sector, pioneeringAdvanced Analytics in insurance, and catalyzing data-driven risk management innovations infinancial institutions. I thrive on bridging the gap between raw data and actionable insights.Top Skills:1. Data Science Leadership2. Data Engineering 3. Data Architecture4. Machine Learning Operations (ML Ops)5. Data Governance6. Cloud Platforms (AWS, GCP, Azure)7. Advanced Analytics and Modeling8. Predictive Modeling9. Infrastructure-as-a-Code (IaaC)10. Business Intelligence (BI) SolutionsExtracurricular & Volunteer Experience: Beyond my professional journey, I activelycontribute to the development of data-focused offerings, including MLOps, IaaC, Ethical AI, andGenAI. Passionate about fostering talent, I dedicate time to training and developing teams. In myspare moments, I engage in community initiatives promoting STEM education and mentorship.If you\'re seeking a dynamic leader with a proven track record in data analytics, I\'m ready to bring my transformative expertise to your organization. Let\'s connect and explore the possibilities!#DataAnalytics #DataScience #MLOps #Leadership #TechInnovation #GenAI
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