Intern - MLOps Engineer (M/F)
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The role
Join a dedicated MLOps squad to help adapt and industrialize the ML ops stack for production-ready AI models.
Contribute to end-to-end ML pipelines, from data ingestion and model training to evaluation, packaging, and deployment with traceability.
Advance automation of ML pipelines (CI/CD, experiment tracking, artifact management) and integrate open-source tools such as MLflow and orchestration solutions.
Focus on performance optimization and reproducibility of ML workflows, ensuring reliable deployments.
Document workflows and contribute to ongoing platform improvement, collaborating with AI, Deployment, and Software teams.
Ideal candidates are students nearing graduation in engineering with AI/CS focus, eager to build a robust MLOps platform and learn in a fast-evolving environment.
Contribute to end-to-end ML pipelines, from data ingestion and model training to evaluation, packaging, and deployment with traceability.
Advance automation of ML pipelines (CI/CD, experiment tracking, artifact management) and integrate open-source tools such as MLflow and orchestration solutions.
Focus on performance optimization and reproducibility of ML workflows, ensuring reliable deployments.
Document workflows and contribute to ongoing platform improvement, collaborating with AI, Deployment, and Software teams.
Ideal candidates are students nearing graduation in engineering with AI/CS focus, eager to build a robust MLOps platform and learn in a fast-evolving environment.
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