Help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Collaborate effectively with team members and stakeholders
Deliver high quality solutions
Develop and deploy Generative AI models
Provide programming proficiency and develop code for AI solutions
Maintain documentation of models and data dictionaries

At least 12+ years of IT experience in Data and analytics
2+ Years experience in Generative AI model development
Developing expertise in Generative AI; experience with generative models and experience in deploying AI models in production environments
Proficiency in programming; ability to write robust code in Python (preferred) or another programming language
Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches
Common AI/ML frameworks (e.g., TensorFlow, PyTorch)
GIT, Docker and vector databases
Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs
Proficiency in using and configuring Linux systems
A demonstrated proficiency in containerization technologies such as docker
Additional coursework or certifications in machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques
Innovative prompt design skills possessing the ability to develop and refine advanced prompts to maximize the efficacy and creativity of AI responses
Understanding of trends in the GenAI landscape and know how to prioritize and apply them to our offerings and projects
Implement machine learning algorithms and software architectures to achieve outlined goals.
Write and maintain clear and concise documentation for data dictionaries, models, and code.
Collaborate effectively with team members and stakeholders to deliver high quality solutions

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

Lead Data Scientist

Key skills