Ml And Data Ops Intern

Mbrdna

San Jose, CA, United States
On-site
Mlops
Data pipelines
Code quality
Help transform experimental data science workflows into scalable, production-ready systems by streamlining codebases and building robust data and ML pipelines

Job Summary

  • Help transform experimental data science workflows into scalable, production-ready systems by streamlining codebases and building robust data and ML pipelines.
  • Develop and optimize tooling and infrastructure that support the full model lifecycle, experimentation, CI/CD, deployment, validation, and monitoring, while ensuring code quality, reliability, and maintainability.
  • Contribute to delivering next-generation infotainment and telematics solutions to customers of Mercedes-Benz, while upholding strong data privacy standards and responsible AI practices.

Matching Summary

Help transform experimental data science workflows into scalable, production-ready systems by streamlining codebases and building robust data and ML pipelines.

Skills & Requirements

Must-have

  • MLOps
  • Data Pipelines
  • Code Quality
  • Reliability
  • Maintainability
  • Responsible AI Practices

Nice-to-have

  • Cutting-edge software
  • Cross-functional teams
  • Enhance driving experience
  • Reduce environmental impact

Key Requirements

  • Data Science Intern
  • Summer 2026

Work Rights

Not specified

Tailored Resume

Cover Letter