<p><p><b>Requirements :</b></p><p><br/>- 4 years of relevant experience as an AI Engineer.
Solid understanding of ML foundations and deep learning.<br/><br/></p><p>- Very good understanding of architectures of Major AI models/networks, variables/parameters to control LLMs output/behaviour.<br/><br/></p><p>- Working of RAG architectures, Vector Databases - retrieval index (HSNW, LSH, FLAT, Quantised, etc.
)<br/><br/></p><p>- Proficient in async and multi-threaded programming in Python, C++.<br/><br/></p><p>- AI frameworks such as PyTorch, scikit-learn, Fast API, Parlant, Langchain, Langgraph DB knowledge - MongoDB, Vector Databases such as Milvus, Qdrant.<br/><br/></p><p>- Working knowledge of open source models, applying fine-tuning, and transfer learning.<br/><br/></p><p>- Ability to build datasets from production data for feedback systems.<br/><br/></p><p>- Working knowledge of deploying, observing, and tracing AI systems in Production.<br/><br/></p><p>- Very good working knowledge of advanced prompting techniques and templates.<br/><br/></p><p>- Ability to benchmark AI models and systems rigorously.<br/><br/></p><p>- Experience with cloud services like EC2 ECS, S3 (object storage), API Gateway, and Vertex AI.<br/><br/></p><p>- Comprehensive understanding of system design architecture, like microservice, rest api, and event-architecture.<br/><br/></p><p>- Very good knowledge of CI/CD pipelines and Docker.<br/><br/></p><p>- Ability to lead/mentor a team of 4-5 members and build/maintain AI/ML systems</p><p></p><br/></p> (ref:hirist.tech)