NLP Developer, Clinia

Responsibilities:

• Generate the best possible asymmetric “query to resources” embeddings;
• Build innovative training pipelines;
• Develop our own benchmark datasets to test our models;
• Integrate with established industry datasets and benchmarks;
• Establish a baseline to beat with our own models;
• Distill models so they can be deployed with a controlled use of resources;
• Setup monitoring and observability pipelines so we know what happens inside the model;
• Try new approaches to ranking (traditional random forest vs reinforcement learning);
• Having a strong notion of learning to rank models so they can analyze at a glance whether the model architecture is viable, achievable and optimal;
• Working with Large Language Models (LLMs) to unlock new and more intelligent triage capabilities, dynamically based on the user’s queries;
• Exploring OpenSource LLMs to gain deeper control of their behavior, as well as optimizing latency to improve the overall experience;
• Indexing a knowledge base with relevant medical information.

Requirements & Skills:

• Experience working in natural language processing (NLP);
• Experience implementing, deploying, and monitoring deep learning models;
• Strong Python programming skills;
• Experience working with Pytorch or JAX;
• Trained machine learning models at scale using distributed computing architectures, whether on the cloud or on-premises; 
• Experience with benchmarking machine learning models;
• Worked on projects where ethics and accountability were paramount;
• Often worked with microservices and containerization technologies (Docker);
• Experience in a healthcare-related project (a plus).