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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 the most important because it is the first line of people management; it provides things to be done. A Practice Leader must be at least senior‑level in their specialty and is primarily a people manager.

Qualifications

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 writing Deep Learning models from scratch

Experience in at least one 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 or 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 create reusable components of ML pipelines

Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming)

Experience in DataOps or ML/MLOps is 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, providing employees with their career path and helping them achieve goals

Diplomatic skills, including ethics, empathy, compassion, and conflict resolution

Calmness and readiness to handle complex situations and 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 knowledge sharing

Maintain tec

📌 ML Practice Leader (Madrid)
🏢 Provectus
📍 Madrid