ML Team Lead

The company is a team of experts providing analytical services to healthcare clients is looking for a talented, long-term ML Team Lead.

You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities :

• Team Leadership and Development : Lead a team of 7-10 professionals, including data engineers, data scientists, MLOps engineers, and QA specialists.
• Create a collaborative and productive environment, support team members’ technical and professional growth;
• Technical Task Planning and Prioritization : Work with the Product Manager to understand business goals, set task priorities, and manage team resources effectively.
• Recommend task prioritization strategies to increase product impact and efficiency;
• Technical Oversight and Quality Assurance : Lead the team through all stages of model development, from design to deployment, ensuring best practices in code quality, documentation, and reproducibility.
• Set clear, repeatable documentation standards to support scalability and knowledge sharing. Implement systems to monitor model performance and keep ML services stable;
• Architectural Solution Design and Review : Propose and evaluate technical solutions to meet project goals, and present these solutions to IT architects and the CTO.
• Participate actively in technical discussions to ensure solutions fit organizational standards and long-term plans;
• Cross-Functional Collaboration : Work closely with other teams (e.g., SecOps, DevOps, UI) to ensure ML models integrate smoothly with the overall system and align with other technical projects.
• interact with business and explain results of your analysis;

Requirements :

• 5+ years in machine learning with hands-on model development experience;
• 2+ years in a technical leadership role;
• Practical experience with Git, Airflow and MLflow (or similar tools);
• Strong Python skills with experience using popular ML libraries and tools (e.g., PyTorch, Hugging Face Transformers etc);
• Experience with cloud platforms (AWS, GCP, Azure), especially their ML and data engineering services;
• Advanced SQL skills and experience building / managing data pipelines with Airflow or similar tools;
• Understanding of MLOps practices, including CI / CD for ML;
• Familiarity with Kubernetes for ML service deployment and management;
• English level B2 or higher.

Nice-to-have skills :

• Experience in healthcare or medical insurance projects;
• Experience with Google Cloud Platform (GCP);
• Knowledge of Document Recognition, NLP, OpenCV, LLM.

Benefits :

• flexible working hours;
• fully remote job;
• opportunity to work with international team of first-class professionals.

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