Machine Learning Engineer (ML Ops)

10 - 12 years

1 - 4 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Own and lead end-to-end architecture design, delivering scalable, secure cloud solutions aligned with business and technical goals
  • Develop, deploy and monitor backend services and cloud-native applications on AWS
  • Implement and manage CI/CD pipelines along with automated monitoring, alerting and observability tooling
  • Collaborate with cross-functional teams to enhance system architecture, security and performance
  • Provide technical leadership and support, including guidance on production issues and complex engineering challenges
  • Evaluate and integrate emerging technologies to improve system efficiency and developer productivity
  • Ensure high standards of system reliability, scalability and maintainability in real-world environments

What are we looking for?

  • 10 12 years of total experience, including 5+ years working with AWS cloud architecture

  • AWS Certified Solutions Architect Professional

    (or equivalent)
  • Strong backend development experience in Java, Python or similar
  • Deep understanding of data structures and algorithms
  • Experience with relational and NoSQL database design
  • Hands-on with AWS services: EC2, S3, Lambda, RDS, DynamoDB, VPC, IAM, EKS/ECS
  • Proficiency with Docker and Kubernetes for containerized and orchestrated deployments
  • Experience with Kafka or similar message queue systems
  • Familiarity with monitoring and observability tools (e.g. CloudWatch, Prometheus, Grafana, ELK)
  • Strong testing discipline using tools like JUnit, PyTest, TestNG or similar
  • Experience working in Agile/Scrum teams with a focus on iterative delivery and continuous improvement
  • Proven ability to lead design discussions, code reviews and system architecture decisions

    Good to have:

    • Background in startups or experience building platforms from the ground up
    • Exposure to DevOps practices and Infrastructure as Code (e.g. Terraform, AWS CDK, CloudFormation)
    • Familiarity with cost optimization, security compliance and AWS Well-Architected Framework
    • Participation in tech communities, open-source contributions

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