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Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.
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 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

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- 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

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- Build effective teams
- Participate in meetups, conferences, and build

📌 ML Practice Leader (España)
🏢 Provectus
📍 España