Job Description
Our client is a fully remote, VC-backed, pre-seed, high-growth startup, building AI-powered software to help parent companies communicate more effectively with their franchisees.
As a Machine Learning Engineer, you'd be playing a key role in architecting and implementing the machine learning pipeline to support the company's growth and innovation!
Responsibilities:
- Architecting the long-term vision of the machine learning pipeline
- Working with agentic AI for a universal interface
- Building a robust MLOps pipeline to define, track, and evaluate different configurations of the machine learning and information retrieval system
- Implementing IR and NLP techniques to improve the accuracy of the system
- Experimenting with various methods to optimize the performance and utility of LLMs within the system
- Researching and keeping up-to-date on the latest machine learning and AI advances to influence the technical direction of the company
Requirements
- Bachelor of Computer Science, Mathematics, Engineering, or a related discipline
- 2+ years of experience in machine learning and/or MLOps in industry or academia
- Demonstrated proficiency in Python
- Strong understanding of statistics and probability relevant to machine learning
- Experience with cloud-based systems and tools, preferably in the AWS ecosystem
- Familiarity with version control systems, ideally Git or equivalent
- Experience with LLM APIs, information retrieval or search engines, and NLP will be considered a strong asset