Senior AI Engineer - Machine Learning/Deep Learning

Requirements :

- 4 years of relevant experience as an AI Engineer. Solid understanding of ML foundations and deep learning.

- Very good understanding of architectures of Major AI models/networks, variables/parameters to control LLMs output/behaviour.

- Working of RAG architectures, Vector Databases - retrieval index (HSNW, LSH, FLAT, Quantised, etc. )

- Proficient in async and multi-threaded programming in Python, C++.

- AI frameworks such as PyTorch, scikit-learn, Fast API, Parlant, Langchain, Langgraph DB knowledge - MongoDB, Vector Databases such as Milvus, Qdrant.

- Working knowledge of open source models, applying fine-tuning, and transfer learning.

- Ability to build datasets from production data for feedback systems.

- Working knowledge of deploying, observing, and tracing AI systems in Production.

- Very good working knowledge of advanced prompting techniques and templates.

- Ability to benchmark AI models and systems rigorously.

- Experience with cloud services like EC2 ECS, S3 (object storage), API Gateway, and Vertex AI.

- Comprehensive understanding of system design architecture, like microservice, rest api, and event-architecture.

- Very good knowledge of CI/CD pipelines and Docker.

- Ability to lead/mentor a team of 4-5 members and build/maintain AI/ML systems