Genpact | MLOps Engineer

1 week ago

bangalore, India Genpact Full time

Location: India


Role Overview:

Genpact is looking for a MLOps Engineer with a strong background in deploying and managing machine learning models in production environments. The ideal candidate will have extensive experience with Azure and AzureML, as well as a solid understanding of CI/CD pipelines and DevOps principles.


Key Responsibilities:

  • Design, build, and maintain scalable ML infrastructure on Azure.
  • Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
  • Collaborate with data scientists to transition models from development to production.
  • Develop CI/CD pipelines to automate model training and deployment.
  • Ensure high availability and reliability of ML services.
  • Troubleshoot and resolve issues in production environments.
  • Document processes and contribute to knowledge sharing within the team.

Qualifications:

  • Education: Bachelors or masters degree in computer science, Engineering, or related fields.
  • Experience in MLOps, DevOps, or related roles.
  • Technical Skills:
  • Mandatory: Proficiency in Azure cloud services and AzureML.
  • Strong programming skills in Python.
  • Experience with CI/CD tools and pipelines (e.g., Jenkins, Azure DevOps).
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Understanding of infrastructure as code (Terraform, ARM templates).
  • Knowledge of monitoring and logging tools.
  • Soft Skills:
  • Excellent communication skills in English.
  • Self-driven and assertive, capable of independent work.
  • Ability to collaborate with cross-functional teams.
  • Strong problem-solving and analytical skills.
  • Comfortable working in a multicultural environment.

Other Requirements:

  • Experience in building ML platforms or infrastructure from scratch is a significant advantage.
  • Familiarity with Databricks and big data processing is a plus.
  • Adherence to security best practices and data governance policies.

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