Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
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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