EPAM Systems

EPAM Systems

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27 días
Expira 09/11/2025

Senior Machine Learning Engineer (Python)

Senior Machine Learning Engineer (Python)

Responsibilities

  • Lead AI adoption efforts for clients to ensure successful implementation
  • Develop AI products such as AI assistant, AI Assessment, AI Playlist, and Content Authorization tool
  • Collaborate with cross-functional teams to design and improve AI solutions
  • Analyze client requirements and provide tailored AI strategies
  • Test and validate machine learning models to ensure accuracy and reliability
  • Document AI models and solutions for client use and internal knowledge
  • Stay updated with latest AI and machine learning trends to inform strategy
  • Provide technical guidance and mentorship to junior engineers
  • Optimize AI algorithms for performance and scalability
  • Participate in code reviews to maintain quality standards

Requirements

  • Experience in Python programming with 3+ years in machine learning projects
  • Strong knowledge of AI and ML strategy development
  • Proven track record in AI product development and client engagement
  • Experience with machine learning frameworks and libraries
  • Ability to analyze complex data and develop actionable insights
  • Excellent problem-solving and critical thinking skills
  • Strong communication skills with B2+ English proficiency
  • Ability to work independently and in a team environment
  • Experience mentoring junior engineers and sharing knowledge

Nice to have

  • Certification in AI or machine learning
  • Experience with content authorization technologies
  • Familiarity with AI assistant platforms
  • Knowledge of playlist generation algorithms
  • Experience in client-facing roles involving AI adoption

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn