Description :

- Minimum of 5 years' experience in AI and machine learning including at least 2 years focused on generative AI and large language models

- Strong proficiency in Python programming and deep learning frameworks such as PyTorch and TensorFlow

- Extensive knowledge of GenAI and LLM libraries including Hugging Face Transformers, LangChain, and retrieval-augmented generation techniques

- Experience with agentic AI tools including LangChain agents, OpenAI function calling, AutoGen, CrewAI, and MetaGPT

- Competency in managing vector databases like FAISS, Qdrant, Chroma, and Pinecone

- Hands-on experience with cloud AI platforms including AWS SageMaker, AWS Bedrock, Azure OpenAI Service, Azure Machine Learning, and Google Vertex AI

- Familiarity with containerization and orchestration using
Docker and Kubernetes

- Understanding of CI/CD practices and RESTful API integration in AI solutions

- Knowledge of microservice architecture style and MLOps best practices

- Awareness of AI governance, ethical considerations, and security practices