The Job

MLOps Technical Lead

Teknik, data och digitalt · IT-infrastruktur och säkerhet · DevOps · Maskininlärning · Mjukvaruutveckling

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I korthet

MLOps Technical Lead accountable for building, deploying, and maintaining machine learning pipelines and operational frameworks in Gurugram, Haryana. This role requires expertise in ML Ops, DevOps tools, Python, infrastructure-as-code, and monitoring solutions to automate workflows and ensure reliable delivery of ML solutions.

Ansvarsområden

  • Implement and maintain ML pipelines using Python, MLflow, Kubeflow Pipelines, and TFX to automate model training, validation, and deployment processes.
  • Apply DevOps practices with Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions to streamline CI/CD for machine learning workflows and monitor pipeline health.
  • Utilize infrastructure-as-code tools such as Terraform and AWS CloudFormation to provision and manage scalable cloud resources for ML workloads.
  • Integrate monitoring solutions like Prometheus, Grafana, ELK Stack, and Fluentd to track model performance, system metrics, and log analytics in production environments.
  • Ensure process compliance by using Git, GitHub, GitLab, and Bitbucket for version control and code management within the team.
  • Participate in technical discussions and feasibility studies to evaluate technical alternatives and support architecture best practices for ML Ops solutions.
  • Prepare and submit status reports to highlight progress, minimize risks, and support project closure activities.

Krav

  • Solid Proficiency In Ml Ops, Including Automation Of Ml Pipelines And Model Lifecycle Management.
  • Solid Understanding Of Devops Tools Such As Jenkins, Gitlab Ci/Cd, Circleci, And Github Actions For Workflow Automation.
  • Solid Experience With Python For Scripting, Data Processing, And Ml Pipeline Development.
  • Solid Knowledge Of Infrastructureascode Tools Like Terraform And Aws Cloudformation For Cloud Resource Management.
  • Solid Skills In Monitoring And Logging Tools Including Prometheus, Grafana, Elk Stack, And Fluentd.
  • Solid Familiarity With Version Control Systems Such As Git, Github, Gitlab, And Bitbucket.
  • Solid Ability To Participate In Technical Discussions And Support Process Compliance Within The Team.

Önskade kvalifikationer

  • AWS Certified DevOps Engineer
  • Google Professional Machine Learning Engineer
#MLOps#DevOps#Python#CI/CD#Cloud#Infrastructure as Code#Monitoring#Logging#Version Control#Machine Learning
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Företag

HCLTech

Publicerade jobb

för 1 månad sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Gurugram, India

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