Senior MLOps Engineer - Data Ingestion - Paris
Doctolib · Paris, Paris, France · GB
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit25
Remote potential50
5-year outlook
Strong outlook given high demand for MLOps expertise in health tech, with competitive compensation for senior roles in Paris.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have deep software/ML engineering experience (7+ years) and a passion for healthcare data infrastructure. Most clinicians without this technical background will not meet the requirements.
Who should apply
Clinicians who have transitioned into data science/ML engineering with substantial production experience, or healthcare graduates with strong CS/ML backgrounds.
CV angle
Highlight any experience with healthcare data handling, understanding of patient privacy regulations, and any technical projects involving data pipelines, ML models, or cloud infrastructure.
Skills to highlight
- Python
- MLflow
- Kubernetes
- Terraform
- Cloud (GCP/AWS/Azure)
- Data pipeline design
- Model evaluation
- SRE practices
Role summary
Senior MLOps Engineer at Doctolib responsible for building and maintaining secure ML pipelines for healthcare data, including anonymization, data ingestion, and model monitoring.
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