ML Practice Leader (GenAI)

• Build effective teams
• Participate in meetups, conferences, and build community
• Share best practices and culture with the team
• Mentor engineers, coach Team Leads, and encourage others to share knowledge
• Have technical excellence and be an influencer in different teams/projects
• Hire and onboard newcomers
• Conduct performance reviews, 1-on-1 meetings
• Identify and address team gaps in knowledge
• Evaluate, improve, and maintain processes
• Сollaborate with other managers across the company
• Communicate and follow the company's mission, vision, and values

• Practical experience and strong understanding of Python patterns & best practices
• Strong understanding of ML project lifecycle
• Practical experience with creating training datasets involving human annotators
• Experience with writing Deep Learning models from scratch
• Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems
• Strong experience with agentic workflows, RAG architecture, and GraphRAG
• Experience and in-depth understanding of transformers
• Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries
• Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc.
• Ability to make reusable components of ML pipelines
• Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming)
• Ability to explain decisions, status, and roadmap to non-technical customer representatives
• Experience in team/department leadership
• Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals
• Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts
• Calmness. People are complicated, and you need to be ready for any objectives or misunderstandings

Experience in DataOps or ML/MLOps would be a significant plus