MLOps Engineer Job in Noida at Barclays

Barclays is hiring for the role of MLOps Engineer!

Responsibilities of the Candidate:

• Build and optimize scalable, secure, and cost-effective AWS-based infrastructure for ML/GenAI workloads
• Develop automated workflows for data ingestion, model training, testing, deployment, and monitoring using tools like AWS SageMaker, Step Functions, and Lambda
• Implement data quality checks, lineage tracking, and compliance standards for curated datasets
• Integrate ML pipelines with DevOps practices, ensuring seamless collaboration between data science and engineering teams
• Deploy monitoring solutions for model performance, drift detection, and system health using AWS CloudWatch and custom dashboards
• Ensure adherence to security best practices and governance requirements for AI deployments
• Work closely with Data Scientists to operationalize models and optimize deployment strategies

Requirements :

• Experience in Programming & Automation: Python, Bash, SQL.
• Worked in MLOps Tools: MLflow, Kubeflow, AWS SageMaker Pipelines.
• Cloud Platforms: AWS (SageMaker, Bedrock, Lambda, Step Functions, CloudWatch)
• DevOps: CI/CD (GitHub Actions, Jenkins), Docker, Kubernetes
• Data Management: Data curation, governance, and ETL processes.