Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
About the role
- Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Responsibilities
- Develop and implement machine learning models focusing on Generative AI techniques and LLM to solve sophisticated business problems
- Streamline Generative AI model development and deployment using Azure infrastructure and capabilities
- Apply prompt engineering techniques, work with RAG applications, and fine-tune language models
- 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
- Deploy machine learning models and applications on cloud platforms
- 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.
Requirements
- Over 4 years of experience with large-scale systems in data science/software engineering
- 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
- Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field
- Proven experience as a Data Scientist with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications
- Strong partner management and ability to translate sophisticated technical topics into business language
- Strong software development skills with proficiency in Python and advanced working SQL knowledge
- 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.
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
- financial education and counseling resources
- generous paid time off program in Canada includes holidays, vacation, personal, and sick days
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