
AI/ML Model Optimizer
Há 3 dias
This is a unique opportunity to work on building and optimizing RAG models for search across large-scale medical and scientific documents. You will be responsible for pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
You will work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. This is a hands-on experimentation and development role, with deployments to non-prod environments and collaboration with DevOps for production rollout.
Requirements:- 1+ years of experience as a Search Engineer or AI Engineer
- Search Technology Experience – OpenSearch, building scalable search systems
- 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
- Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
- Strong communication skills – able to work independently while providing clear updates to the team
- Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
- Exposure to RAG architectures, specifically textual RAG use cases
Our team is building backend features for an existing Retrieval-Augmented Generation (RAG) service. We are looking for a skilled engineer to help us improve our RAG models and optimize their performance. If you have experience working with large-scale data, developing complex algorithms, and collaborating with cross-functional teams, we would love to hear from you.
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Senior AI/ML Engineer
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Data-Driven Artificial Intelligence Specialist
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Chief Data Scientist
Há 4 dias
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