Senior ML Engineer - Clinician Workflows with AI

Nabla

Paris

Hybride

EUR 90 000 - 135 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Stock ownership
Healthcare coverage
Meal vouchers
Transit costs covered
Yoga classes
Book budget

Résumé du poste

Nabla in Paris is seeking a Senior ML Engineer to lead high‑impact ML projects at the intersection of healthcare and AI. You will own end‑to‑end ML initiatives, from model design to production deployment, in a fast‑moving, cross‑functional team.

You will mentor engineers, push research, and collaborate with ML/Engineering/Product squads. The role offers hybrid work in Paris, with 1‑2 remote days per week and occasional remote weeks.

Qualifications

  • 5+ years of training and deploying neural networks in real‑world use cases.
  • Strong leadership: lead ML projects, collaborate across teams, mentor engineers.
  • Advanced Python coding, production‑ready software engineering sense.
  • Vision for AI in healthcare and redefining clinician workflows.
  • Fluent English communication; additional languages a plus.

Responsabilités

  • Lead ambitious ML projects across squads and deliver impactful solutions.
  • Redefine clinician workflows with AI to improve efficiency and care.
  • Propose experiments, model architectures and data-labeling strategies.
  • Develop, train, and deploy production models with scalable, robust systems.
  • Improve R&D processes and share expertise within the team.
  • Stay at the cutting edge of AI research and foster growth.

Connaissances

ML engineering
Leadership
Python
Healthcare AI
English fluency

Outils

PyTorch
Transformers
vLLM
GCP
Kubernetes
OpenAI API

Description du poste

Nabla in Paris is seeking a Senior ML Engineer to lead high‑impact ML projects at the intersection of healthcare and AI. You will own end‑to‑end ML initiatives, from model design to production deployment, in a fast‑moving, cross‑functional team.

You will mentor engineers, push research, and collaborate with ML/Engineering/Product squads. The role offers hybrid work in Paris, with 1‑2 remote days per week and occasional remote weeks.

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