Machine Learning Practice Leader / Engineering Manager

**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