bedrock , MLops, AgentCore, Agentic technologies, Generative AI, SageMaker

Data Quality, MLops, Terraform, Docker, Python, Kubernetes, LLMOps, RAG, AI governance

Pytorch, MLops, Gcp, Docker, Azure, Kubernetes, Cloud-native engineering, Prompt engineering, Hugging Face ecosystem, AI deployment, Agentic AI frameworks, Structured tool calling, LLM evaluation and benchmarking, Generative AI application development, Workflow orchestration, RAG and knowledge retrieval systems, Inference optimization, Model fine-tuning or adaptation

bedrock , MLops, Code Review, Python, AWS, Generative AI, Step Functions, LLMOps, LLM integration, OpenSearch, Retrieval-Augmented Generation, Comprehend, SageMaker, document intelligence, Agentic AI, AI workflow orchestration, Textract, observability

Python, Devops, Docker, Git, MLops, vLLM, Cluster resource management tools, Retriever, SGLang, Model optimization techniques, NIM Factory Pipeline, CUDA optimization

Java, Apis, Tensorflow, MLops, Gcp, Pytorch, Docker, Spark, Keras, Azure, Kubernetes, Python, AWS, AI ML solutions, R, Dask

Typescript, Node.js, Nestjs, Python, MCP or equivalent agent-tooling layers, AWS Bedrock, orchestration and workflow engines such as n8n, AI stack, Claude and other LLM APIs

Databricks, MLops, Gcp, AWS, Python, Azure, Apis, agent frameworks, OpenAI, GenAI, LLMOps, orchestration layers, embeddings, LangChain, RAG, CrewAI, Pinecone, LLM-based solutions, Mistral, LangGraph, RAG pipelines, Claude, vector stores, vector databases, Agentic AI, FAISS, Chroma