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.
Tech Stack
Azure
Cloud
Jenkins
Python
SQL
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