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- 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.
- You obsess about customers, listen, engage and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
- 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.
- 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.
- 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.
Senior Data Scientist Gen AI - Waterloo, Canada - Company 1 - The Manufacturers Life Insurance Company
Description
Description
The Opportunity
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
How will you create impact?
Working with the AVP of Advanced Analytics, the Data Scientist will focus on various high-visibility Generative projects such as health analytics and modernized operations.
What motivates you?
What we are looking for
What can we offer you?
Our commitment to you