Senior Software Engineer-MLOPs

7 - 12 years

17 - 32 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

  • Design and build robust MLOps pipelines for model training, validation, deployment, and monitoring
  • Automate workflows using CI/CD tools such as GitLab Actions, Azure DevOps, Jenkins, or Argo Workflows
  • Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) 70% azure 30% AWS/100% Azure
  • Design secure and cost-efficient ML architecture leveraging cloud-native services
  • Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation
  • Implement cost optimization and performance tuning for cloud workloads
  • Package ML models using Docker, and orchestrate deployments with Kubernetes on EKS/AKS
  • Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation
  • Integrate observability tools for model performance, drift detection, and lineage tracking (e.g., Fiddler, MLflow, Prometheus, Grafana, Azure Monitor, CloudWatch)
  • Ensure model reproducibility, versioning, and compliance with audit and regulatory requirements
  • Collaborate with data scientists, software engineers, DevOps, and cloud architects to operationalize AI/ML use cases
  • Mentor junior MLOps engineers and evangelize MLOps best practices across teams
  • LLM Ops knowledge in required

Preferred candidate profile

  • Bachelor's/Masters in Computer Science, Engineering, or related discipline
  • 7-13 years in Devops, with 2-4+ years in MLOps or cloud ML engineering.
  • Proficient with

    MLflow, DVC, Airflow, FastAPI, Docker, Kubernetes, and Git/Jenkins

    .
  • Experience with feature stores (e.g., Feast), model registries, and experiment tracking
  • Lead capabilities
  • Devops & MLOps, Automation Cloud formation/Teraform/BICEP


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