Data Security, Kafka, Sql, Spark, Data Governance, Databricks, Python, data pipelines, ClickHouse, Flink, AI applications, data models, dbt

Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, embeddings, Hugging Face, vector databases, Ray, MLflow, Pinecone, model evaluation, RAG pipelines, NLP concepts, AI ML frameworks, OpenAI Assistants, LangChain, prompt engineering, AutoGen, FAISS, Milvus, Weaviate

Effort Estimation, Gcp, Azure, Python, AWS, LangChain, agentic AI solutions, AI ML engineering, RAG patterns, ADK, agent design patterns, LangGraph, AutoGen, solution scoping, presales activities, agent evaluation techniques, Proposals, Microsoft Agent Framework, Pricing

Cursor, Code, AI coding tools, Codex, AI agents, Claude

Pytorch, MLops, Python, Deep Learning, Generative AI, Langchain, LMM, Llm

Machine Learning, Deep Learning, System Design, LangChain, model fine-tuning, multi-agent orchestration, AI infrastructure, LLM application development, prompt engineering, AutoGen tool function calling, Evaluation, RAG agent frameworks, Optimization, LlamaIndex

Sql, Bitbucket, Jwt, Github, Typescript, AWS, Gitlab, RESTful, Python, Azure, Version Control, Gcp, Oauth2, Api Development, Sso, cloud platforms, LLM integration, Access Control, GRPC, MCP, LangChain, middleware systems, LangGraph

Python development, Containerization and Kubernetes environments, CI CD pipelines and version control workflows, Model serving or inference runtime concepts, Vector database usage and embedding pipelines, RAG concepts including embedding and retrieval, Monitoring logging and tracing fundamentals

Nlp, Nodejs, Computer Vision, Machine Learning, AWS, FastAPI, Kubernetes, Python, Azure, Gcp, Docker, AI Systems Engineering, Applied AI, Generative AI

Sql, Java, Python, MLops, Feature engineering, Data preprocessing, Model evaluation, Prompt engineering techniques, LLMOps