Tensorflow, Azure ML, Pytorch, Python, embeddings, LLMs, scikit-learn, prompt engineering, vector stores, SageMaker, GCP Vertex AI, RAG, Cloud ML infrastructure

Restful Apis, Python, LangGraph, LangChain, scalable application design, OpenAI, Azure OpenAI, AI application development, AI agent frameworks, prompt engineering

data engineering , Python, Fme, Databases, Cloud Services, Machine Learning, Apis, Qgis, Natural Language Processing, MLops, data pipelines, Azure OpenAI, Azure AI Foundry, LLM techniques, LangGraph, Azure cloud environments, Azure AI Search, Arcgis, LangChain, Generative AI, Agentic AI frameworks, AI ML engineering, Semantic Kernel, AutoGen

Python – Expert level SQL – Strong Machine Learning Search & Information Retrieval Recommendation Systems Personalization Ranking / Learning-to-Rank Embeddings Vector Search – FAISS, etc. Hybrid Search – lexical + semantic search Reranking Production ML / MLOps ML Model Deployment & Serving Model Monitoring & Reliability Spark or equivalent Airflow / Dagster or equivalent A/B Testing & Experimentation Offline ML Evaluation, HNSW, pgvector

AI ML, Python, Llm, RAG, Gen AI, AI Engineer

Oauth, Java, Typescript, Node.js, MongoDB, Kubernetes, Python

Ansible, Python, Kubernetes, site reliability, Slurm, GPU computing

Nlp, MLops, Tensorflow, Pytorch, Azure certifications, CI/CD pipelines, AI/ML development