About This Role:
We are seeking an experienced Machine Learning Model Optimizer to join our team. As a key member of our backend development team, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
Main Responsibilities:
* BUILDING RETRIEVAL-AUGMENTED GENERATION MODELS FOR SEARCH ACROSS LARGE-SCALE MEDICAL AND SCIENTIFIC DOCUMENTS
* OPTIMIZING MODEL PERFORMANCE TO ENSURE ACCURATE RESULTS
* DEVELOPING NEW FEATURES TO ENHANCE THE SEARCH EXPERIENCE
Requirements:
* 1+ years of experience in machine learning model development or related field
* Strong programming skills in Python, including API creation, model training, testing, and general backend development
* Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
* Excellent problem-solving skills and attention to detail
Nice to Have Skills:
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Experience with RAG architectures, specifically textual RAG use cases
Working Hours: 10AM - 6PM BRT (9AM-5PM EST)