Microservices, Docker, Python, MLops, Rest Apis, Kubernetes, embeddings, vector databases, Pinecone, Responsible AI practices, RAG implementations, LangGraph, model evaluation, ChromaDB, Azure AI Search, LangChain, CrewAI, fine-tuning, Semantic Kernel, prompt engineering, AutoGen, FAISS, Weaviate, LlamaIndex

snowflake , Docker, Openshift, FastAPI, Python, Sql, Kubernetes, LangChain, LangGraph, Vector databases

Docker, Core Java, PostgreSQL, Spring Boot, Redis, AWS, LangChain, LangGraph, LLM APIs

Python, Instruction fine-tuning methodologies, Domain adaptation strategies, Data preprocessing for model training, Natural Language Processing techniques

Machine Learning, Natural Language Processing, Deep Learning, Gcp, Azure Cloud, Docker, FastAPI, Python, AWS, LangChain, RAG architecture, Agentic AI frameworks, LlamaIndex

S3, Lambda, AWS, FastAPI, Kubernetes, Python, Docker, Terraform, Apis, Langchain, EKS, LLMs integration, Pydantic, Vector Databases, AI Technologies, prompt context engineering, Autogen, MCPs, observability and monitoring platforms, A2A, LangGraph, AI Agent frameworks

Apis, Graphql, Elk, PostgreSQL, Grafana, Redis, REST, Incident Management, Python, AI tools, ClickHouse, Go, Data Lakehouse concepts, SLOs

C, Java, AWS, Ruby, Python, Azure, Gcp, Javascript, prompt engineering, RAG techniques, Go, embedding models, vector databases, LLM deployment, fine tuning, agentic systems, guardrail techniques, privacy and security considerations, Generative AI, responsible AI, big data querying, multiple programming languages, Evaluation

Data Engineer, AWS, AWS Glue, Etl, Pyspark, Airflow, Llm, Ai

Distributed Computing, Pytorch, Docker, Python, Cuda, MLops, Kubernetes, Hugging Face Transformers, model parallelism, speculative decoding, SGLang, inference runtimes, GPU memory management, performance benchmarking, quantization, continuous batching, KV-cache optimization, TensorRT-LLM, LLMOps, vLLM, LLM GenAI model inference optimization, NCCL, Transformer architectures, GPU computing