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Tech Lead Ml Engineer H/F
Summary by AIEngineer.careers
Tech Lead Ml Engineer H/F is a ML Engineer role (part-time). with MP Data. in REMOTE, WORLDWIDE. Imported listing (source: jobintree.com). Apply on the employer's site (jobintree.com).
Imported listing (source: jobintree.com) · Apply on jobintree.com
REMOTE · WORLDWIDE
—
Part-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobintree.com
MP Data is seeking a Senior Tech Lead ML Engineer to drive the technical architecture and industrialization of recommendation systems for their client TF1+. This role focuses on building high-throughput, low-latency real-time services while mentoring ML Engineers and ensuring robust software engineering practices. The position is available as part-time or freelance.
Responsibilities
- Design and implement end-to-end recommendation pipelines from training to production inference.
- Lead technical architecture decisions for storage, orchestration, and environment decoupling.
- Optimize model performance through batching, caching, and profiling to ensure scalability and resilience.
- Manage the full model lifecycle including experimentation, evaluation, A/B testing, and monitoring via Datadog.
- Mentor ML Engineers and enforce best practices in software engineering, testing, and code quality.
Requirements
- Senior-level experience in Software Engineering with a strong focus on production systems.
- Solid understanding of Machine Learning fundamentals, statistics, and data science concepts.
- Proficiency in Python and PyTorch; experience with recommendation algorithms (collaborative filtering, two-tower, sequential models) is a plus.
MP Data
Boulogne-Billancourt · FR · 164+ employees
MP DATA is a consulting firm specialized in digital transformation for businesses, focusing on data science and operations research. They provide data analytics services across multiple sectors including transportation, energy, and finance.
