1 week ago Be among the first 25 applicants 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 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 Graph RAG 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, Data Lake, Streaming) Experience in Data Ops 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 technical excellence and ac

📌 Ml Practice Leader (España)
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