This is a hands-on role for developing and supporting new and existing features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development.
Bachelor’s Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.
Programming skills in Python. Experience developing scalable and robust services with FastAPI or similar frameworks.
Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation(RAG) and Generative AI
Master’s Degree Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.
Familiarity with large language model frameworks for evaluating and fine-tuning models.
Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams.
Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP, Azure).
Collaborative mindset to brainstorm on architectural patterns to arrive at the best approach. Keen interest in keeping up with the latest in the industry.
Experience working on platform engineering or a developer experience platform is a plus.