Data Engineer / MLOps

2 - 5 years

10 - 15 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Description

Data Engineer / MLOps

Experience: 2 - 5 yrs

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Role summary

Key responsibilities

  • Build ETL/ingestion jobs for documents, logs, and structured data.
  • Use Spark framework or alternatives for data wrangling, processing of large datasets.
  • Orchestrate embedding pipelines and batch updates to vector DB.
  • Implement basic monitoring/alerting for API latency, vector DB health, and overall application health

Must-have

  • 1 - 3 yrs experience with Python + at least one data pipeline framework (Airflow or similar).
  • SQL expertise and ability to design simple data models.
  • Comfortable with Linux, scheduling and basic infra automation scripts.
  • Azure/AWS/GCP hands-on experience

Nice-to-have

  • Familiarity with Kubernetes basics, Azure services (Blob Storage, AKS),
  • CI-CD frameworks and MLOps/MLflow.
  • Machine Learning and LLMs

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