| Company |
P&G |
| Job title |
Senior AI Engineer |
| Job location |
Toronto, Ontario, Canada |
| Type |
Full Time |
Responsibilities:
- Working closely with various Product Managers, Data Scientists, Data Engineers, vendors, and our Data Analysts.
- Provide technical leadership and guidance to the Scrum team – can include Data Engineers, analysts, and/or AI Engineers
- Transform and optimize our current AI Engineering processes and practices
- Design, build, and maintain AI-powered systems including the use of LLMs
- Operationalize ML/AI models as core components of our products, and check data quality.
- Collaborate with stakeholders (Product Researchers, Marketing, Data Analysts) to define and build proof of concepts and experiments
- Cost & performance optimization, support, monitoring & troubleshooting.
Requirements & Skills:
- Bachelor’s Degree in Computer Science, Information Science, Engineering, or applicable field
- Minimum of 3 years experience building AI solutions.
- Minimum 5 years of experience in Data Engineering in roles of progressive responsibility
- Experienced in machine learning frameworks and libraries (eg. BERT, PyTorch, etc…)
- Advanced proficiency in Python
- Very strong software development foundation including CI/CD, automated testing
- Experienced in Azure data services (Azure Data Factory, Azure Data Lake, Azure SQL, etc…)
- Strong data structures and data modeling foundation.
- Practical experience in conducting code reviews, with significant attention to code quality, readability, and maintainability.
- Familiarity with containerization technology and tools (e.g., Docker, Kubernetes).
- Practical experience and a lot of passion for AI/ML technologies and practices including MLOps.
- Strong oral/written communication and collaboration skills.
- Master’s Degree in Computer Science, Information Science, Engineering, or applicable field
- Experienced in Azure AI offerings such as Azure AI Studio
- Experienced in optimizing for a high-performing engineering team
- Hands-on experience building NLP or RAG solutions, agentic workflows, and using LLM/data frameworks (eg. LlamaIndex, Langchain)
- Experienced in front-end development (eg. Web apps using React and CSS frameworks)
