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
Senior Data Scientist II driving AI for Analytics at Instacart. Utilizing data to enhance product features and collaborating with cross - functional teams.
Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Senior Marketing Data Scientist for Mozilla providing analytical support to marketing team's investment decisions. Measuring marketing performance and uncovering insights to enhance impact.
Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Data Scientist at Dropbox partnering with product, engineering, and design teams for analytics and business growth. Focusing on revenue growth, product optimization, and launching high - impact initiatives.
Senior Data Science Manager driving data science projects and mentoring teams for AI product development at Dropbox. Collaborating cross - functionally to influence product strategies and analyze impactful data - driven insights.
Data Science Manager at Instacart leading a data science team to optimize consumer app experiences. Focusing on analytics and experimentation across critical shopper surfaces.