Ml Practice Leader

Há 4 dias

Rio Grande do Sul, Brasil Provectus Tempo inteiro

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**: - 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. **Responsibilities**: - 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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