Senior Data Scientist Gen AI in Toronto

Our Canadian Advanced Analytics (AA) team is seeking a highly skilled and motivated Data Scientist with a strong emphasis on Generative AI and Large Language Models (LLM). This role requires a unique blend of technical expertise and business insight to transition from promising hypotheses and ML experiments to fully‑fledged AI/ML products with real‑world impact. As a specialist in Generative AI techniques, you will work with innovative closed and open‑source Gen AI models, apply standard methodologies in prompt engineering, RAG applications, and fine‑tune LLM models to drive business outcomes.

Responsibilities

• Develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve sophisticated business problems, using a variety of algorithms and techniques.
• Streamline Generative AI model development and deployment using Azure infrastructure and capabilities like cognitive search and Vectordb, and frameworks such as Langchain, Semantic Kernel, and Autogen.
• Apply prompt engineering techniques, work with RAG applications, and fine‑tune language models to improve their performance in specific tasks.
• Collaborate with multi‑functional teams to plan, scope, implement, and sustain predictive analytics solutions.
• Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
• Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost‑effectiveness.
• Develop measurements and feedback systems, and mentor associates and peers on MLOps & LLMOps standard methodologies.
• Stay up‑to‑date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.

What we are looking for

• Hands‑on experience with Gen AI‑related tech stack, including Azure cognitive search, Langchain, Semantic Kernel, and agent frameworks like Autogen, Vectordb. Experience in fine‑tuning open‑source models like Llama, Phi2 is a bonus.
• Proven experience as a Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
• Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high‑quality and pragmatic solutions.
• Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
• Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
• Over 4 years of experience with large‑scale systems in data science/software engineering.
• Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field.

What can we offer you?

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work‑life balance.
• Professional development and leadership opportunities.

Our commitment to you

• Values‑first culture: We lead with our Values every day and bring them to life together.
• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
• Continuous innovation: We invite you to help redefine the future of financial services.
• Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.