Ai Data Engineer

Barclays

Pune, India
Design build deploy ai ml solutions on aws
Develop productionize llm based applications
Leverage amazon sagemaker and bedrock services
The role involves building and maintaining data architectures, pipelines, and warehouses to ensure accurate, accessible, and secure data processing

Job Summary

  • The role involves building and maintaining data architectures, pipelines, and warehouses to ensure accurate, accessible, and secure data processing.
  • Candidates will collaborate with data scientists to build and deploy machine learning models while adhering to responsible AI practices.
  • This position requires leading complex tasks, influencing decision-making, and mentoring team members to deliver operational effectiveness across the business.

Matching Summary

The role involves building and maintaining data architectures, pipelines, and warehouses to ensure accurate, accessible, and secure data processing.

Skills & Requirements

Must-have

  • Design build deploy AI ML solutions on AWS
  • Develop productionize LLM based applications
  • Leverage Amazon SageMaker and Bedrock services
  • Implement MLOps best practices for model lifecycle
  • Build secure compliant AI systems using IAM

Nice-to-have

  • Strong experience in AI Machine Learning concepts
  • Hands-on experience with vector search and RAG
  • Familiarity with PyTorch TensorFlow Hugging Face LangChain
  • Knowledge of cloud-native architecture on AWS
  • Experience implementing security compliance controls for AI

Key Requirements

  • Experience with AWS AI ML services
  • Proficiency in Python for ML workloads
  • Understanding of model lifecycle management
  • Knowledge of scalable system design on AWS

Work Rights

Not specified

Tailored Resume

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