MLOps | DevOps Engineer Intern
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The role
This internship blends DevOps, MLOps, software engineering, and data science to deploy LLM-based data processing and agentic pipelines.
You will deploy and manage data processing pipelines and AI solutions in production, collaborating with data scientists, data engineers, and ML engineers.
Set up and maintain infrastructure for deployment, monitoring, and operation of data product pipelines.
Work closely with cross-functional teams to ensure solutions meet business requirements and scale effectively.
Document processes, workflows, and best practices for LLMOps/DevOps.
Essential requirements include pursuing a master’s degree, strong Python, knowledge of Docker and Kubernetes, and agile teamwork; familiarity with CI/CD and LLMs is desirable.
You will deploy and manage data processing pipelines and AI solutions in production, collaborating with data scientists, data engineers, and ML engineers.
Set up and maintain infrastructure for deployment, monitoring, and operation of data product pipelines.
Work closely with cross-functional teams to ensure solutions meet business requirements and scale effectively.
Document processes, workflows, and best practices for LLMOps/DevOps.
Essential requirements include pursuing a master’s degree, strong Python, knowledge of Docker and Kubernetes, and agile teamwork; familiarity with CI/CD and LLMs is desirable.
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