**Machine Learning Practice Leader / Engineering Manager** ========================================================== Serbia,Poland,Armenia,Tbilisi,Romania,Spain **About project** **About the Role** We are looking for a **Machine Learning Practice Leader** — a senior technical and people leader who will guide the direction of our ML practice, mentor engineers, and ensure delivery excellence across multiple AI\-driven projects. This role combines **hands\-on machine learning expertise** with **strategic leadership**. As a Practice Leader, you’ll manage and grow a team of ML engineers, shape standards and best practices, and act as the bridge between leadership, HR, and engineering teams. **Key Responsibilities** * Build, lead, and mentor high\-performing ML teams * Recruit, onboard, and coach new team members * Set objectives, conduct performance reviews, and drive career growth * Evaluate and improve delivery processes, ensuring consistency across projects * Collaborate with other managers and senior stakeholders across the company * Identify skill gaps, arrange training, and foster a culture of continuous learning * Ensure alignment with the company’s mission, vision, and values * Represent the company at conferences, meetups, and community events **Technical Expertise** * Deep understanding of **Python best practices** and ML design patterns * Proven experience across the **full ML lifecycle**: data preparation, model training, validation, deployment, and monitoring * Experience with **deep learning model development** and **transformer architectures** * Strong background in one or more domains: **NLP, Computer Vision, Forecasting, Recommender Systems** * Expertise in **agentic workflows**, **RAG**, and **GraphRAG** architectures * Practical experience with **AWS** or other cloud/open\-source MLOps platforms * Hands\-on experience with **model post\-production**: monitoring, retraining automation, and maintenance * Familiarity with diverse **data sources** (OLTP, OLAP, DataLake, Streaming) * Experience in **DataOps** or **MLOps** is a strong advantage **Leadership \& Soft Skills** * Proven experience managing teams or departments in a technical environment * Ability to coach, mentor, and define clear growth paths for engineers * Strong communication and diplomatic skills — empathy, ethics, and conflict resolution * Calm, structured, and reliable leadership style in high\-pressure environments * Confidence to explain complex ML decisions and roadmaps to non\-technical stakeholders **What We Offer** * Attractive annual bonus based on performance * Long\-term B2B collaboration * Fully remote setup * Comprehensive private medical insurance or budget for your medical needs. * Paid sick leave, vacation, and public holidays * Continuous learning support, including unlimited AWS certification sponsorship