Description:
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.