Senior MLOps Engineer — Hybrid Paris Data & AI

Free resume; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance for you and family

Paid vacation + RTT

Mental health support

Work from abroad up to 10 days/year

Lunch vouchers (Swile)

Job summary

Doctolib seeks a Senior MLOps Engineer to join the Panda Team in the Data & AI Platform group. You will design end-to-end ML pipelines, implement data anonymization within ingestion, and ensure secure data exports and monitoring across millions of users.

The role combines production ML, data security, and infra automation in a hybrid Paris/Nantes setup. You will mentor teammates, work with Python, Kubernetes, and Terraform, and advance our cloud-native data infrastructure while upholding

Qualifications

• At least 7+ years as an MLOps Engineer or ML Platform Engineer with production lifecycle experience.
• Expert-level experience with ML orchestration tools (MLflow, Braintrust, or similar).
• Strong Site Reliability Engineering (SRE) foundation focused on reliability, observability.
• Expert in Python for automation and ML pipeline scripting.
• Proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes).
• Experience with cloud infrastructure (GCP, AWS, or Azure).
• Fluent in English.

Responsibilities

• Design and implement end-to-end ML model pipelines in production (LLM and custom models).
• Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 to Tier 1.
• Build and maintain secure data export services with ML-based threat detection.
• Manage golden datasets and model evaluation frameworks for anonymization quality.
• Build and maintain data pipelines to extract, transform, and load data from multiple sources.
• Implement automation/orchestration tools to streamline provisioning (MLflow/Braintrust or similar).
• Monitor data and ML platforms for performance, reliability, and security; troubleshoot issues.
• Mentor team members on MLOps practices.

Skills

MLOps

Python

Kubernetes

Terraform

SRE

MLflow

Data anonymization

Cloud

Mentoring

Tools

MLflow

Braintrust

Kubernetes

Terraform

Job description

Direct company application on jobs.ashbyhq.com . Zero third-party aggregator forms.

Job Description

Your Impact

We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team.

Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

Design and implement end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks

Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance

Build and maintain secure data export services with ML-based threat detection to prevent attack vectors (SQL injection, etc.) using adaptive models rather than manual rules

Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability

Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video)

Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort

Monitor data and ML platforms for performance, reliability, and security; identify and troubleshoot issues proactively

Mentor team members on MLOps expertise and best practices to reduce knowledge silos and build organizational capability

Life at Doctolib Tech

Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.

Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here .

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

You have at least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience

You have expert-level experience with ML orchestration tools (MLflow, Braintrust, or similar) for batch processing and inference pipelines

You have a strong Site Reliability Engineering (SRE) foundation with focus on operations excellence, reliability, and observability

You have expertise in Python for automation and ML pipeline scripting

You have strong proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes)

You have experience with model evaluation frameworks and golden dataset management

You have a solid understanding of cloud infrastructure (preferably GCP, AWS, or Azure)

You have excellent problem-solving skills with focus on identifying and resolving infrastructure bottlenecks

You are fluent in English

It would be fantastic if you:

Have knowledge of data security and privacy frameworks (GDPR, data anonymization, pseudonymization)

Have experience building and monitoring security services and threat detection systems

Have strong communication and mentoring skills to drive knowledge transfer across teams

What we offer

Free comprehensive health insurance for you and your children

25 days of paid vacation per year, plus up to 14 days of RTT

Free mental health and coaching services through our partner Moka.care

Work from abroad for up to 10 days per year thanks to our flexibility days policy

Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib

A subsidy from the work council to refund part of the membership to a sport club or a creative class

50% reimbursement of your public transport subscription

Parent Care Program: receive one additional month of leave on top of the legal parental leave

For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

Relocation support in case of international mobility

Access to the best AI tools for coding, development and dedicated training

Technical Case Study Interview

System Design Interview

Behavioral Interview

At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page .

Job details

Full-time

Start date: as soon as possible

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here: France . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

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