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Job Description
- Degree in Information Technology, Computer Science, Artificial Intelligence or similar fields.
- Minimum 5 years of experience in design, development, and production-grade deployment of AI, ML, and/or NLP applications focussing on unstructured data or multi-modal data.
- Experience with cloud-native AI services offered by AWS (preferred) and/or Azure.
- Experience with LLM application development frameworks such as Langchain, LlamaIndex, Haystack, or Semantic Kernel is highly desired.
- Experience with good API design practices, containerization, microservices, and deployment with container orchestration services such as AWS ECS or Kubernetes is a must.
- Experience with version control (git), automated testing, continuous integration, and deployment.
- Experience with open-source or proprietary vector databases such as FAISS, Quadrant, or Pinecone is important.
- Experience with MLOps or FMOps frameworks and hands-on experience with deployment and life cycle management of AI/ML/NLP models is ideal.
- Experience with advanced prompt engineering techniques e.g., ReAct, Chain-of-Thought, etc is a plus.
- Experience with popular libraries for Transformers such as HuggingFace, SparkNLP.