Developer, sql database
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy cutting‐edge artificial intelligence and machine learning solutions, with a strong focus on Retrieval‐Augmented Generation (RAG) systems. The ideal candidate will have hands‐on experience building scalable pipelines for unstructured data, optimizing semantic retrieval, and working with modern large language models (LLMs). Build and maintain custom RAG systems leveraging internal data sources.
Develop robust data pipelines for processing and managing unstructured content.
Optimize semantic search and retrieval performance using embeddings and vector databases.
Evaluate model performance using key quality metrics and continuously improve system accuracy.
Work with leading large language models (LLMs) and conduct experiments to enhance performance.
Strong proficiency in Python, including libraries such as Num Py and Pandas; solid SQL skills.
Fast API, Uvicorn (ASGI Server), Pydantic, Pydantic-Settings, Lang Chain, Hugging Face Transformers.
Machine Learning/NLP: Deep Learning, Natural Language Processing (NLP), text embeddings, semantic search, and model evaluation techniques.
Vector Databases: Testing: Experience with pytest (v8. Deployment & Dev Ops: Docker, Open Shift, Jenkins (CI/CD pipelines).
Tools & Practices: Git, RESTful API development, and version control best practices.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
