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Showing 7 jobs
Skills:
Azure ML, MLops, Python, LangChain, AWS Bedrock, LLMOps, Anthropic, Azure OpenAI, LangGraph, Vector Databases, Agentic AI, Production AI application development, AWS SageMaker, RAG, OpenAI, Generative AI LLMs, LlamaIndex, Prompt Engineering
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models
Skills:
Enterprise integrations – Graph API Power Automate Salesforce etc., RAG pipelines and vector databases – FAISS Pinecone pgvector, Prompt engineering LLM evaluations HITL workflows, Python FastAPI async programming, Multi-agent architecture – tool use memory planning guardrails observability, Production-grade LLM solutions – OpenAI Anthropic Azure OpenAI, Secure credential management managed identity enterprise integration patterns, Azure AWS GCP cloud deployment, Agentic AI frameworks – LangGraph LangChain AutoGen CrewAI
Skills:
Testing, Kubernetes, Docker, Git, Information Retrieval, async programming, RAG pipelines, OpenAI, Crew.ai, NLP techniques, safety considerations, development frameworks, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Anthropic, agent alignment, semantic search, Autogen, prompt engineering, Advanced Python programming
Skills:
MLops, Sql, Microservices, Tensorflow, Pytorch, Python, Nosql, Kubernetes, Docker, Big Data, Apis, Azure Cloud Platforms, GPT, Claude, Gemini, Embeddings, Agentic AI, Generative AI, Transformers
Skills:
Microservices, Java, Testing, Kubernetes, Docker, Git, async programming, RAG pipelines, Crew.ai, cloud-native architecture, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Autogen, prompt engineering, advanced Python programming
Skills:
MLops, AWS, Python, Azure, Enterprise Integration, Apis, LangChain, OpenAI, LLM frameworks, LLMOps, vector databases, multi-agent tool-based systems, Agentic AI, RAG architectures, LangGraph
