AI/ML Engineer

Responsibilities

• Develop and implement machine learning models and LLMs, optimizing them for real-world deployment
• Fine-tune and optimize large language models (LLMs) to enhance performance and scalability
• Work with AI development frameworks like LangChain, PyTorch, Keras, etc. for AI-driven applications
• Design and develop machine learning algorithms and deep learning applications and systems
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
• Train and monitor machine learning systems and models as needed
• Design and implement embedding-based similarity algorithms to improve AI-powered search and retrieval
• Implement Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation
• Utilize vector databases (e.g. Chroma, Pinecone, Weaviate, etc.) to support efficient data retrieval
• Develop and deploy...