A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers. The role of a Practice Leader is probably the most important because this is the first line of...
A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers.
The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.
The complete list of requirements looks like the following:
The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.
The complete list of requirements looks like the following:
- 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)
- Experience in DataOps or ML/MLOps would be a significant plus
- 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
- 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
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