Machine Learning Engineer

Barrington James; Nice; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A fast-growing tech company is seeking a Machine Learning Engineer to enhance microbiological diagnostics through machine learning. You'll develop scalable codebases, manage training pipelines, and integrate ML models into production. The ideal candidate will have a degree in a relevant field and 2–4 years of experience in deep learning or computer vision, with strong Python and PyTorch skills. Join a mission-driven team and contribute to innovative solutions in industrial microbiology.

Qualifications

• 2–4 years of experience in developing and deploying deep learning or computer vision solutions.
• Experience building scalable ML pipelines that are production-ready.
• Comfortable collaborating with multidisciplinary teams.

Responsabilités

• Develop and maintain end-to-end machine learning workflows.
• Take responsibility for the full lifecycle of training pipelines.
• Support integration of ML models into production.

Connaissances

Python

PyTorch

API development

Docker

SQL

Formation

Degree in Computer Science, Data Science, Engineering or related field

Outils

FastAPI

AWS

Kubernetes

Description du poste

A rapidly growing deep tech company with a HQ in Paris is seeking a Machine Learning Engineer to join its mission-driven team revolutionizing microbiological diagnostics. In this role, you’ll apply your machine learning expertise to multimodal data, working closely with engineers and scientists to push the boundaries of automation, analytics, and detection in the industrial microbiology space.

What you’ll do

• Develop and maintain well-structured, reliable, and scalable codebases for end-to-end machine learning workflows.
• Take responsibility for the full lifecycle of training pipelines, including data preparation, reproducibility, and setting up robust training environments.
• Support the integration of ML models into production, ensuring they run efficiently and deliver consistent results.
• Partner with interdisciplinary teams (such as biology, optics, and software engineering) to align machine learning efforts with broader research and product goals.

What We’re Looking For

Required Background & Experience

• Degree in Computer Science, Data Science, Engineering, or a related field (Bachelor’s or Master’s).
• 2–4 years of practical experience in developing and deploying deep learning or computer vision solutions.
• Strong Python skills, with hands-on expertise in PyTorch for model building.
• Experience building APIs (preferably with FastAPI).
• Solid grounding in software development practices : version control, modular code design, testing, and refactoring.
• Experience using Docker; understanding of Kubernetes for managing containers.
• Exposure to cloud platforms (AWS is a plus, though GCP or Azure are also relevant).
• Comfortable collaborating with multidisciplinary teams that include scientists and engineers.
• Working knowledge of SQL and relational databases.

Nice-to-Have

• Experience creating scalable ML pipelines that are production-ready.
• Prior exposure to model optimization and deployment for efficiency and speed.
• Self-driven, proactive, and able to take ownership of projects in dynamic or uncertain environments.

Following your application Jay Robins, a specialist AI Recruitment consultant, will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Jay Robins for any further information.

Email: [e-mail]