ML Ops Engineer

December 23, 2024
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Job Description

Company Name: Cognizant

Job ID: 00061785411

Job Title: MLOps Engineer

Job Link: https://careers.cognizant.com/india-en/jobs/00061785411/ml-ops-engineer

Job Location: Hyderabad, India

Job Summary: Cognizant is seeking an MLOps Engineer with expertise in AWS SageMaker, Azure ML Studio, GCP Vertex AI, PySpark, Azure Databricks, MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline, Kubernetes, AKS, Terraform, and Fast API. The role involves model deployment, monitoring, retraining, managing deployment pipelines, drift detection, experiment tracking, MLOps architecture, and REST API publishing. Responsibilities include researching and implementing MLOps tools, raising MLOps maturity, introducing agile and automated approaches, and conducting internal training.

Qualification:

  • Wide experience with Kubernetes
  • Experience in operationalization of Data Science projects (MLOps) using frameworks/platforms like Kubeflow, AWS SageMaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube
  • Good understanding of ML and AI concepts
  • Hands-on experience in ML model development
  • Proficiency in Python for ML and automation tasks
  • Good knowledge of Bash and Unix command line toolkit
  • Experience in CI/CD/CT pipelines implementation
  • Experience with cloud platforms, preferably AWS

Must Haves:

  • AWS SageMaker
  • Azure ML Studio
  • GCP Vertex AI
  • PySpark
  • Azure Databricks
  • MLFlow
  • KubeFlow
  • AirFlow
  • Github Actions
  • AWS CodePipeline
  • Kubernetes
  • AKS
  • Terraform
  • Fast API

Preferred:

  • Experience with cloud platforms, preferably AWS

Any particular certification required/recommended: Not specified

Key Job Details:

  • Job number: 00061785411
  • Travel required: No
  • Job category: Technology & Engineering
  • Location: Hyderabad, India
  • Date published: Dec 06, 2024
  • Employment type: Full-time
Job Location
Hyderabad