Work with data scientists to turn ML and GenAI experiments into scalable production
pipelines/ MLOPS.
Build and maintain shared code repositories and reusable components.
Design CI/CD pipelines in AWS / Azure MLOPS to deploy models, APIs, and GenAI tools.
Strong experience in Data Pipeline / DataOps.
Containerize applications using Docker and deploy them using cloud-native services.
Automate infrastructure setup using Terraform and manage schemas in Azure and
Snowflake.
Deploy and manage GenAI apps such as chatbots, RAG systems, and predictive tools.
Monitor & Observality & Explainability will add Value.
Set up alerts, rollback plans, and observability tools to ensure stability.
Take part in code reviews and suggest workflow improvements.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps EngineerEmployement Type: Full time