GenAI MLOps Engineer — Production & Observability (Remote)

DataGalaxy; Paris; Hybrid; EUR 90,000 - 115,000; Full time

Benefits offered by this job

Flexible working hours

Remote work options

Health insurance

Meal vouchers

Public transport reimbursement

Holiday bonus

Quarterly team events

Job summary

A pioneering data governance startup is looking for an MLOps engineer to enhance its platform with reliable Generative AI capabilities. The role involves developing production workflows, integrating cloud services, and collaborating with cross-functional teams. Ideal candidates will have solid Python experience and familiarity with cloud environments and CI/CD processes. Work is hybrid with flexible hours, and benefits include a competitive salary, health insurance, meal vouchers, and opportunities for work-life balance.

Qualifications

• Professional experience delivering production software in Python.
• Familiarity with CI/CD and production environment constraints.
• Interest in MLOps and managing cost/latency trade-offs.

Responsibilities

• Contribute to ModelOps platform and automate deployments.
• Implement CI/CD workflows adapted for AI.
• Develop GenAI features within the platform.

Skills

Python programming

CI/CD practices

Debugging

Cloud services

MLOps

Polyglot environment

Tools

Docker

Kubernetes

Terraform

Job description

A pioneering data governance startup is looking for an MLOps engineer to enhance its platform with reliable Generative AI capabilities. The role involves developing production workflows, integrating cloud services, and collaborating with cross-functional teams. Ideal candidates will have solid Python experience and familiarity with cloud environments and CI/CD processes. Work is hybrid with flexible hours, and benefits include a competitive salary, health insurance, meal vouchers, and opportunities for work-life balance.