Machine Learning Engineer

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.

The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME's and understand the business requirements proper python code development. Good candidate should be familiar with ongoing monitoring.

• Contribute to development and maintenance of the python library.
• Contribute to the support of the library.
• Participate in prompt engineering.
• Maintain the prompts and keep them up to date with the new LLM versions.
• Conduct regular testing and performance analysis.
• Participate in prompt benchmarking experiments.

• Bachelor's in computer science or related field
• Years of experience: 5+
• Hands-on experience in building python applications
• Excellent Python development skills
• Excellent architecture design skill for enterprise applications.
• Knowledge of object-oriented programming and design patterns
• Knowledge of system resiliency, observability, scalability and performance
• Experience of Agile development
• Strong analytical skills and passion for problem-solving
• Good communication skills

• Experience with Open AI and different LLM models, conduct testing and performance evaluation is required.
• Experience with Java development
• Experience with machine learning, vector databases
• Cloud-based application development preferably using Microsoft Azure Cloud
• Prior experience in Fin Tech application development
• Exposure to working in a global delivery team

• Real-time GenAI Solutions:
  Strong - Chatbot, prompt workflows, OpenAI API
• AI Agent Development:
  Strong - Lang Chain agents, multi-turn flow
• Agentic Libraries (Lang Chain, etc.):
  Strong - FAISS, Lang Chain, Ollama used extensively
• Architecture / Design Patterns (RAG):
  Strong - Multiple RAG implementations
• Frameworks (CrewAI, Semantic Kernel)

The base compensation range for this role in the posted location is: CAD $ 85,000 to CAD $ 100,000 / Year

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…