Gen AI Developer
Build and deploy generative AI and machine learning solutions at Capgemini's Mississauga office: fine-tuning LLMs with PyTorch/TensorFlow/Keras, developing RAG applications with LangChain and LlamaIndex, optimizing vector search, and integrating AI-powered APIs into enterprise systems within Agile teams.
- Compensation
- CA$65.2K–CA$79.8K / yr
- Location
- Mississauga, CA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Design, develop and deploy AI/ML and Generative AI solutions using Python
- Build and fine-tune machine learning and large language models using frameworks such as PyTorch, TensorFlow and Keras
- Develop RAG-based applications using LangChain, Hugging Face and LlamaIndex
- Implement and optimize vector search and hybrid search solutions
- Perform model training, evaluation and fine-tuning using techniques such as LoRA and QLoRA
- Develop APIs and AI-powered services; integrate AI models with enterprise applications
- Ensure model performance, scalability and reliability
- Collaborate with business and technology teams to translate requirements into AI solutions
- Participate in Agile development, testing, deployment and support activities
Full description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
- Design develop and deploy AIML and Generative AI solutions using Python
- Build and finetune machine learning and large language models using frameworks such as PyTorch TensorFlow and Keras
- Develop RAG based applications using LangChain Hugging Face and LlamaIndex
- Implement and optimize vector search and hybrid search solutions perform model training evaluation and finetuning using techniques such as LoRA and QLoRA
- Develop APIs and AI powered services integrate AI models with enterprise applications
- Ensure model performance scalability and reliability collaborate with business and technology teams to translate requirements into AI solutions and participate in Agile development testing deployment and support activities
The base compensation range for this role in the posted location is:65,230 -79,804
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