Machine Learning Practice Leader / Engineering Manager

Provectus; Deutschland; Remote; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

A leading AI firm in Germany is seeking a Machine Learning Practice Leader to guide their ML practice and mentor engineers. The ideal candidate will have deep expertise in Python and the full ML lifecycle, as well as experience in managing high-performing teams. This fully remote position offers an attractive annual bonus, comprehensive medical insurance, and support for continuous learning.

Leistungen

Attractive annual bonus

Comprehensive private medical insurance

Paid sick leave and vacation

Unlimited AWS certification sponsorship

Qualifikationen

• Deep understanding of Python best practices and ML design patterns.
• Proven experience across the full ML lifecycle.
• Strong background in NLP, Computer Vision, Forecasting, and Recommender Systems.

Aufgaben

• Build, lead, and mentor high-performing ML teams.
• Evaluate and improve delivery processes across projects.
• Collaborate with other managers and stakeholders.

Kenntnisse

Python best practices

Machine Learning lifecycle

Deep Learning model development

NLP

Computer Vision

DataOps or MLOps

Tools

AWS

MLOps platforms

Jobbeschreibung

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