Senior Deep Learning Scientist - MLOps & Deployments

Jobtailor; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Jobtailor is seeking an experienced Machine Learning/Signal Processing engineer in Paris, France, to develop, train and deploy Deep Learning models for client projects. You will translate client needs into technical objectives, contribute to novel data types and drive scalable MLOps tooling.

The role emphasizes production-grade software, collaboration with sales for scoping, and mentoring junior team members while traveling to client sites periodically.

Qualifications

• Master’s degree in Software Engineering, Computer Science, Deep Learning, Computer Vision or Acoustic Processing.
• 6+ years of professional experience in acoustic or electromagnetic signal processing.
• Experience putting software solutions into production, ideally on-prem (deployment, monitoring, observability).
• Strong knowledge of Python and software development best practices.
• Good understanding of databases, orchestration and containerization.
• Experience with agile development.

Responsabilités

• Develop, train and test Deep Learning or signal-processing models for client delivery.
• Translate client needs into technical objectives and propose suitable solutions.
• Contribute to low-TRL projects on new data types.
• Ensure maintainability and scalability of MLOps tools and workflows.
• Propose innovative approaches to improve detectors and development efficiency.
• Mentor junior team members and share best practices.
• Participate with sales in upstream scoping and estimations.
• Travel to client sites 2–4 days per month to deploy tools.

Connaissances

Python

Agile development

Communication

End-user mindset

Formation

Master’s degree in Software Engineering, Computer Science, Deep Learning, Computer Vision or Acoustic Processing

Outils

Docker

Kubernetes

Databases

Description du poste

Jobtailor is seeking an experienced Machine Learning/Signal Processing engineer in Paris, France, to develop, train and deploy Deep Learning models for client projects. You will translate client needs into technical objectives, contribute to novel data types and drive scalable MLOps tooling.

The role emphasizes production-grade software, collaboration with sales for scoping, and mentoring junior team members while traveling to client sites periodically.