ML engineer confirmé (H/F)

over 1 year ago

Remote, Worldwide +2 moreMid Level

Responsibilities

Design and develop scalable AI/ML architectures in public cloud environments.
Integrate AI/ML models into existing applications.
Implement and optimize MLOps pipelines to industrialize machine learning models.
Develop model evaluation and monitoring approaches for ML models and generative AI systems.
Build generative AI solutions based on LLMs and RAG systems using vector databases.
Deploy custom models and integrate managed models.
Collaborate with Data Science, Data Engineering, DevOps, and business teams.
Monitor technological developments and innovations in AI.
Address and raise awareness of legal and ethical aspects of AI with clients.

Experienced ML Engineer profile with expertise in machine learning and generative AI solutions.
Ability to design cloud-based AI/ML architectures and industrialize model deployment.
Experience with MLOps, model evaluation, monitoring, LLMs, RAG systems, and vector databases.
Ability to work with multidisciplinary teams and clients.
Interest in technology watch and the legal and ethical dimensions of AI.

Personalized support from a technical manager who understands the profession.
Personalized career development toward greater responsibility, tutoring, technical management, or speaking roles.
Ongoing training and certifications through the BlackBelt program.
Opportunities to share knowledge through meetups, blogging, and mentoring.
Role based in or involving the Toulouse agency, with work performed at client sites or from the service center.

501-1,000 employees