Software Engineer – Genai & Data Engineering

Bristol Myers Squibb

50% onsite
Design, develop, and operate scalable cloud-native data pipelines
Generative ai solutions
Structured and unstructured data
Design, build, and operate scalable data pipelines for structured, semi-structured, and unstructured data sources (databases, APIs, CSVs, documents, images)

Job Summary

  • Design, build, and operate scalable data pipelines for structured, semi-structured, and unstructured data sources (databases, APIs, CSVs, documents, images).
  • Develop and deploy Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), and orchestration of LLM workflows for research and business use cases.
  • Partner with MLOps teams to deploy, fine-tune, and operationalize embedding and transformer models using managed and open-source platforms.

Matching Summary

Design, build, and operate scalable data pipelines for structured, semi-structured, and unstructured data sources (databases, APIs, CSVs, documents, images).

Skills & Requirements

Must-have

  • design, develop, and operate scalable cloud-native data pipelines
  • Generative AI solutions
  • structured and unstructured data
  • Python, PySpark, SQL, NoSQL
  • AWS services (EC2, S3, Lambda, RDS/DynamoDB, Datazone, SQS/SNS, API Gateway, AWS Glue)
  • enterprise search solutions
  • real-time and serverless data services

Nice-to-have

  • pharmaceutical or life sciences domain
  • Databricks, DevOps, containerization
  • MLOps practices

Key Requirements

  • 3-5 years of experience in software or data engineering
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • Hands-on experience with AWS services
  • Practical experience with Generative AI frameworks and platforms
  • Familiarity with enterprise search technologies

Work Rights

Not specified

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