Senior Data Engineer, MLOps
Atos
full-time
Posted on:
Location Type: Office
Location: Villeurbanne • 🇫🇷 France
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudDockerJavaPythonTerraform
About the role
- Design and implement automated data and machine learning pipelines
- Develop and productionize AI/ML models in a secure, scalable environment
- Deploy, monitor and optimize models (performance, cost)
- Contribute to the standardization of MLOps practices and to technical documentation
- Participate in POCs to demonstrate the value of AI/ML use cases
- Stay informed on the latest advancements in AI and MLOps
Requirements
- Languages & frameworks: Python (Pydantic, PyMuPDF), basic knowledge of Java
- Cloud & services: AWS (Textract, Lambda, Step Functions, SQS, CloudWatch)
- DevOps & CI/CD: GitLab CI, Terraform, Docker
- MLOps: pipeline construction, automation, model monitoring
- Methodologies: Agile (Scrum, Kanban), tools: Jira & Confluence
- Familiarity with LLMs (e.g., Gemini) is a plus
Benefits
- Involvement in innovative projects
- Stimulating technical environment
- Opportunities for continuous improvement
- Creativity and expertise are valued
- Supportive and encouraging environment for all
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPydanticPyMuPDFJavaAWSTextractLambdaStep FunctionsSQSCloudWatch
Soft skills
communicationcollaborationproblem-solvingadaptabilitycritical thinking