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