Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Machine Learning Co-op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
Responsibilities
- Annotate chat data from sales-dealers and customers to train AI chatbots
- Develop and refine prompts and Retrieval-Augmented Generation (RAG) technique cvg cant es to enhance the performance of zero-shot and few-shot language models (LLMs)
- Assess the needs of dealers and customers, and implement AI chatbot functionalities to address those needs
- QA and improve our live audio call AI agent
Requirements
- Pursuing a Bachelor’s degree in Computer Science or a related field, pursuing a M.S in Computer Science or a related field preferred
- Coursework or experience in Data Structures, Algorithms, Linear Algebra, Probability, and foundational Machine Learning and Artificial Intelligence concepts
- Familiarity with Python and its data analysis libraries
- Strong grasp of core CS and ML concepts
- Interview process will include questions on coursework, coding, probability, machine learning, and Linux fundamentals
- Able to work 40/hours a week from May-December in our Boston office ( 3 days/week)
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