Mlops Engineer

Barclays

Noida, India
Flexible, with select hours overlapping with us-based partners and stakeholders.
Aws sagemaker and lambda experience
Python, bash, sql programming skills
Mlflow and kubeflow tool proficiency
Barclays is seeking an MLOps Engineer in Noida, India, to design, implement, and maintain MLOps frameworks for AI and Generative AI models, focusing on efficient deployment and operation on AWS. The role involves data quality processes, collaboration with teams, and risk management initiatives, emphasizing a strong technical background in programming, cloud platforms, and MLOps tools

Job Summary

  • The role focuses on designing robust MLOps frameworks to streamline the deployment and lifecycle management of AI and Generative AI models on AWS.
  • Candidates will build scalable infrastructure and automated workflows using tools like AWS SageMaker, Step Functions, and Lambda.
  • The position requires close collaboration with data scientists to operationalize models while ensuring adherence to security best practices and governance standards.

Matching Summary

Match Score: 85

Barclays is seeking an MLOps Engineer in Noida, India, to design, implement, and maintain MLOps frameworks for AI and Generative AI models, focusing on efficient deployment and operation on AWS. The role involves data quality processes, collaboration with teams, and risk management initiatives, emphasizing a strong technical background in programming, cloud platforms, and MLOps tools.

Skills & Requirements

Must-have

  • AWS SageMaker and Lambda experience
  • Python, Bash, SQL programming skills
  • MLflow and Kubeflow tool proficiency
  • CI/CD pipeline implementation expertise
  • Data quality and lineage tracking
  • Model drift detection and monitoring

Nice-to-have

  • Generative AI deployment knowledge
  • Cross-functional collaboration skills
  • Risk and control governance awareness
  • Strategic thinking and business acumen
  • Leadership and coaching capabilities

Key Requirements

  • Experience with ML Ops Tools
  • Cloud Platforms AWS expertise
  • DevOps CI/CD background
  • Data Management and ETL processes
  • Flexible working approach for US overlap

Work Rights

Not specified

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