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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 community

- Share best practices and culture with the team

- Mentor engineers, coach Team Leads, and encourage knowledge sharing

- Maintain technical excellence xcskxlj and act as an influencer across teams/projects

- Hire and onboard newcomers

- Conduct performance reviews and 1‑on‑1 meetings

- Identify and address team gaps in knowledge

- Evaluate, improve, and maintain processes

- Collaborate with other managers across the company

- Communicate and uphold the company's mission, vision, and values

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage

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📌 ML Practice Leader (Team Lead) (España)
🏢 Provectus
📍 España