Job Description
TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
Azure AI Services : Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks
.
Python Programmin g: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI
).
LLM \& Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniqu
es.
ML Libraries \& Framewo rks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NL
TK).Vector Databa ses: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinec
one.
DevOps/M LOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insi
ghts.
Cloud Security \& Integr ation: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration pat
terns.
AI Ethics \& Gove rnance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI s
ystems.
