Mlops Engineer

jobs.barclays

Noida, India
Aws sagemaker pipelines experience
Python bash sql programming skills
Mlflow kubeflow tool proficiency
This role focuses on building scalable AWS-based infrastructure to streamline the deployment and lifecycle management of AI and Generative AI models

Job Summary

  • This role focuses on building scalable AWS-based infrastructure to streamline the deployment and lifecycle management of AI and Generative AI models.
  • The successful candidate will design automated workflows for data ingestion, model training, testing, and monitoring using tools like AWS SageMaker and Step Functions.
  • Candidates must collaborate closely with Data Scientists to operationalize models while ensuring adherence to security best practices and governance requirements.

Matching Summary

This role focuses on building scalable AWS-based infrastructure to streamline the deployment and lifecycle management of AI and Generative AI models.

Skills & Requirements

Must-have

  • AWS SageMaker Pipelines experience
  • Python Bash SQL programming skills
  • MLflow Kubeflow tool proficiency
  • CI/CD Docker Kubernetes knowledge
  • Data quality lineage tracking expertise
  • Model drift detection monitoring setup

Nice-to-have

  • Generative AI deployment experience
  • Cross-functional collaboration abilities
  • Risk and controls governance mindset
  • Strategic thinking capabilities
  • US time zone overlap availability

Key Requirements

  • Experience with ML Ops Tools
  • Cloud Platforms AWS proficiency
  • DevOps CI/CD implementation skills
  • Data Management ETL processes
  • Flexible working approach required

Work Rights

Not specified

Tailored Resume

Cover Letter