Senior ML Engineer

at  Manulife

We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today.

THE OPPORTUNITY

Our Canadian Advanced Analytics (AA) team is seeking a highly skilled and motivated ML Engineer with a strong emphasis on building AI enabled application . 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 MLOps and Gen 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.

• 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
• 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.