Software Engineer MLOps

4 - 9 years

10 - 20 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role & responsibilities

Role:

This role focuses on deploying, monitoring, and maintaining ML models in production environments. It does not involve model training or LLM fine-tuning.

Core Responsibilities

  • Operationalize ML models using Azure ML, MLflow, Docker, AKS (Azure Kubernetes Service)
  • Develop APIs and inference pipelines for scalable model serving
  • Design and maintain CI/CD pipelines for ML workflows
  • Ensure monitoring and observability with tools like Prometheus, Grafana, and Azure Monitor
  • Maintain compliance, versioning, and governance for all deployed models
  • Automate deployment, testing, rollback, and retraining processes
  • Collaborate with Data Scientists, Software Engineers, and DevOps teams in an Agile setup
  • Write clean, testable, and maintainable Python code for production systems

Required candidate profile:

  • Strong Python skills (production-level ML/AI systems)
  • 3+ years in software/backend engineering roles

  • Hands-on experience with:

  • Azure ML, Azure DevOps, Azure Container Registry, Azure Key Vault
  • Docker, Kubernetes (AKS)
  • ML lifecycle tools (e.g. MLflow)
  • CI/CD, version control, and automated testing for ML
  • Fluent in English (B2+ level)
  • Nice to Have
    Experience with Databricks or managed ML platforms
  • Knowledge of model drift detection, vector databases, and inference optimization
  • Awareness of AI-specific security & compliance requirements

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