About the role

  • GenAI Lead Developer designing and developing Python scripts for data ETL in GenAI applications at Capgemini. Collaborating with cloud platforms and conducting research on innovative AI techniques.

Responsibilities

  • Design and develop efficient, maintainable, and reusable Python scripts for data extraction, transformation, and loading (ETL) in GenAI applications
  • Collaborate with cloud platforms to build Generative AI applications
  • Conduct research and experiments to explore innovative generative AI techniques
  • Develop, implement, and maintain APIs to integrate GenAI models into applications and workflows

Requirements

  • Strong proficiency in the Python programming language
  • Experience with cloud platforms (e.g., AWS, Azure, GCP)
  • API development and maintenance skills
  • Generative AI concepts knowledge, including document storage, chunking, vector databases, RAG implementation, and basic fine-tuning methods
  • DevOps and MLOps practices familiarization
  • Monitoring and logging solutions implementation experience

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$87,000 - CA$102,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudETLGoogle Cloud PlatformPython

Location requirements

OnsiteTorontoCanada

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