Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Staff MLOps Engineer ML Platform (x/f/m) AI Teams.
France Jobs Expertini

Urgent! Staff MLOps Engineer - ML Platform (x/f/m) - AI Teams Job Opening In Paris – Now Hiring Doctolib

Staff MLOps Engineer ML Platform (x/f/m) AI Teams



Job description

What you’ll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI.

We are seeking a highly skilled, motivated, and collaborative MLOps Engineer to join our ML Platform Team.

The successful candidate will play a pivotal role in developing, deploying, and maintaining machine learning models and systems, ensuring their performance and scalability.

You will collaborate with data scientists, software engineers, platform engineers and other stakeholders to deliver high-quality solutions that power Doctolib products for care teams and patients.

Your responsibilities include but are not limited to:

  • Collaborate with data scientists and engineers to develop and deploy machine learning models, ensuring they meet performance, scalability, and reliability requirements.
  • Implement and maintain the MLOps pipeline, including version control, continuous integration, continuous deployment, and monitoring of machine learning models.
  • Develop tools, frameworks, and best practices to streamline the model development and deployment process.
  • Ensure the availability, reliability, and performance of machine learning models and systems, proactively addressing any issues that arise.
  • Monitor the performance of machine learning models in production, identifying areas for improvement and working with data scientists to optimize the models.
  • Stay up-to-date with the latest advancements in MLOps and machine learning technologies, incorporating them into the ML Platform Team's workflows as appropriate.
  • Collaborate with cross-functional teams to gather requirements, provide technical guidance, and contribute to the development of machine learning solutions.
  • Document MLOps processes, standards, and best practices to ensure knowledge transfer and consistency across the team
  • Share & advocate your work with the tech community
  • Our stack

  • Programming languages : Python / Pyspark / SQL.

  • Cloud providers : AWS / Azure.

  • Machine Learning platform : AWS SageMaker
  • Container / Orchestration : AWS ECS / Docker
  • Data warehouse / storage : AWS S3 / AWS Redshift
  • Databases : PostgreSQL
  • Search engine : ElasticSearch
  • Data capture tool : AWS Kinesis
  • ML pipeline : AWS Step Functions / AWS Lambda / AWS SageMaker.

  • Infrastructure as code : Terraform
  • And any other tool you deem relevant!

    Who you are

    If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

    You could be our next team mate if you: 

  • Have a good team spirit, enjoy learning new skills and have a strong sense of initiative 
  • Excellent communication and collaboration skills, with the ability to work well in cross-functional teams and write clear documentation.

  • Have a Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • Have a proven experience (5 years) as an MLOps Engineer, Cloud engineer for Machine Learning applications or similar role.

  • Are proficient in our core languages : Python / SQL / Shell Scripting / Terraform
  • Have a strong knowledge of machine learning algorithms / concepts / trends
  • Have an expertise in Deep Learning Framework, preferably PyTorch
  • Have strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, ECS, S3, CloudWatch and/or Azure and GCP equivalents.
  • Have experience in building with HuggingFace Technologies, including Transformers, Diffusers, Accelerate, PEFT
  • Have experience in building MLOps pipelines for containerizing models and solutions with Docker
  • Have experience with MLOps Frameworks like MLFlow / Kubeflow
  • Are proficient in “classic” DevOps: strong experience with setting up CI/CD systems with declarative pipelines (GitHub Actions), monitoring, dev-qa-prod environments
  • Have experience in version control and application/library packaging tools (Git, Poetry, Docker, …)
  • Are familiar with Apache Spark or other big data processing frameworks.
  • have experience with GPU programming (CUDA) and optimization for cost and speed
  • Have Knowledge of back-end and middleware services, such as NGINX, FastAPI, or Airflow

  • Now, it would be fantastic if you: 

  • Have experience with Kubernetes, GitOps tools (e.g. ArgoCD) and/or Kafka
  • Have experience with Terraform Enterprise / Hashicorp Vault / Cloudflare is a plus 
  • Have experience developing in Javascript / Typescript and using deployment in the browser (transformers.js / langchain.js)
  • Have experience with ML model quantization and optimization
  • What we offer

  • A stock-option program for each Doctoliber
  • Quarterly bonuses and a competitive package
  • A 6-month dedicated onboarding program - the Doctolib Academy
  • Continuous training programs on all key competencies (English, soft skills, expertise) 
  • Transparent internal mobility opportunities you're welcome to apply for
  • 2 days per year to help health charities and create a positive social impact - the Solidarity Days
  • Mental health and wellbeing offer in partnership with moka.care
  • The Doctolib Parent Care Program, including extended parental leave, meet-ups and inspiring conferences
  • High-quality office spaces supporting collaboration, health and wellbeing
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • A competitive health insurance paid 100% by the company 
  • Subsidy for lunch and various food offers in our offices 
  • A flexible workplace policy offering both hybrid and office-based mode
  • Flexibility days allowing to work in EU countries and the UK 10 days per year 
  • A support for relocation in case of international mobilities and new joiners arriving to France, Germany and Italy from another country
  • The interview process 

  • HR interview by phone (45 minutes)
  • Hiring manager interview (1 hour)
  • Case study & case restitution (1 hour)
  • Pairs interview / Meet the team session (1 hour / half day immersion)
  • At least one reference check 
  • A copy of your criminal records (“extrait de casier judiciaire B3”)
  • Job details

  • Permanent position
  • Full Time 
  • Workplace : Paris area
  • Start date: asap
  • Remuneration : fix + bonus on objectives (according to your profile)
  • A stock options plan for every Doctoliber

    At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like.

    This translates into our recruitment process: Doctolib is an equal opportunity employer.

    We don't just accept diversity at Doctolib, we respect and celebrate it!

    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, disability, or place of origin.

    If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

    All the information transmitted via this form is processed by Doctolib for the purpose of managing applications.

    For more information on how Doctolib processes your application data, click .

    If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at .


    Required Skill Profession

    Computer Occupations



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Staff MLOps Potential: Insight & Career Growth Guide


    • Real-time Staff MLOps Jobs Trends in Paris, France (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Staff MLOps in Paris, France using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 134 jobs in France and 46 jobs in Paris. This comprehensive analysis highlights market share and opportunities for professionals in Staff MLOps roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Staff MLOps Engineer ML Platform (x/f/m) AI Teams Job?

      Great news! is currently hiring and seeking a Staff MLOps Engineer ML Platform (x/f/m) AI Teams to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Doctolib adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying France laws and regulations
    • What Is the Average Salary Range for Staff MLOps Engineer ML Platform (x/f/m) AI Teams Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Paris. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for Staff MLOps Engineer ML Platform (x/f/m) AI Teams?

      Key qualifications for Staff MLOps Engineer ML Platform (x/f/m) AI Teams typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Staff MLOps Engineer ML Platform (x/f/m) AI Teams?

      To improve your chances of getting hired for Staff MLOps Engineer ML Platform (x/f/m) AI Teams, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Staff MLOps Engineer ML Platform (x/f/m) AI Teams Job Success
      Doctolib interview tips for Staff MLOps Engineer   ML Platform (x/f/m)   AI Teams

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Doctolib's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Staff MLOps Engineer ML Platform (x/f/m) AI Teams interview at Doctolib, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Doctolib's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for Staff MLOps Engineer ML Platform (x/f/m) AI Teams Positions

      Setting up job alerts for Staff MLOps Engineer ML Platform (x/f/m) AI Teams is easy with France Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!