Job Description

Must Have:
Design and develop efficient maintainable and reusable Python scripts for data extraction transformation and loading ETL in GenAI application
Demonstrate strong proficiency in the Python programming language
Collaborate with cloud platforms eg AWS Azure GCP to build Generative AI GenAI applications
Develop, Implement and maintain APIs to integrate GenAI models into applications and workflows
Conduct research and experiments to explore innovative generative AI techniques such as AI agents hybrid RAG optimization and workflow orchestration
Apply expertise in generative AI concepts including document storage chunking vector databases RAG implementation and basic finetuning methods

Nice to Have:
Champion DevOps and MLOps practices focusing on continuous integration deployment and AI model monitoring
Previous experience leveraging tools like Docker Kubernetes and Git to build and manage AI pipelines
Experience implementing monitoring and logging solutions to ensure the performance and reliability of AI models
Collaboration experience with software engineering and operations teams for seamless AI model integration and deployment
Possess familiarity with DevOps and MLOps methodologies emphasizing CICD processes and AI model lifecycle management

The base compensation range for this role in the posted location is: 80,000 - 90,909.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.