Company Name

Cognizant Technology Solutions India Ltd ( Hyderabad )

Job Description

• Key Responsibilities:
  • Design and implementmodel deployment,monitoring, andretraining pipelines.
  • Build and maintainCI/CD/CT pipelinesfor ML workflows using tools likeMLFlow,Kubeflow,Airflow,GitHub Actions, andAWS CodePipeline.
  • Develop and manageinference,monitoring, anddrift detection pipelines(data drift, model drift).
  • Architect scalable and secureMLOps infrastructureusingKubernetes,AKS, andTerraform.
  • Publish and manageREST APIsfor model inference usingFastAPI.
  • Track experiments and model performance metrics.
  • Collaborate with cross-functional teams to raise MLOps maturity across the organization.
  • Conduct internal training and presentations on MLOps tools and best practices.
  Required Skills & Technologies:
  • Cloud Platforms:AWS SageMaker, Azure ML Studio, GCP Vertex AI
  • Big Data & Processing:PySpark, Azure Databricks
  • MLOps Tools:MLFlow, Kubeflow, Airflow, GitHub Actions, AWS CodePipeline
  • Infrastructure & Automation:Kubernetes, AKS, Terraform, FastAPI
  • Programming Languages:Python (ML and automation), Bash, Unix CLI
  Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Proven experience in operationalizing ML models using MLOps frameworks.
  • Strong understanding of ML/AI concepts and hands-on experience in model development.
  • Experience with cloud-native development and container orchestration.
  • Familiarity with agile methodologies and DevOps practices.
  Preferred Qualifications:
  • Certification in AWS, Azure, or GCP.
  • Experience with DataRobot, DKube, or similar platforms.
  • Exposure to enterprise-level ML systems and governance.

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