➡️ Apply here: Machine Learning Practice Leader
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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.