 
        
        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)