Senior Data Scientist

Our Canadian Artificial Intelligence (AI) team is seeking a highly skilled and motivated Senior 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.

Position Responsibilities

• 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.
• Working with the AVP of Artificial Intelligence, the Senior Data Scientist will focus on various high-visibility Generative projects such as health analytics and modernized operations.

Required Qualifications

• 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.

Preferred Qualifications

• 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.