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Showing 8 jobs
Skills:
Java, Python, LLMs, Azure AI, vector databases, Anthropic, OpenAI, AI applications, agent frameworks, cloud AI services, RAG architectures
Skills:
snowflake , MLops, DevSecOps, Docker, Databricks, Kubernetes, Generative AI, Agentic AI frameworks, Platform Engineering Practices, AI Agents, AI Governance, Zero Trust Architecture, API Gateways, Governance frameworks, Azure AI Foundry, Cloud-native architectures, LLM platform services, Agent orchestration frameworks, Operational Excellence, AI security controls, Security by Design, Observability, Responsible AI Frameworks
Skills:
Git, Gcp, Azure, Aws
Skills:
AWS EKS, Computer Vision, Image Processing, Tensorflow, Pytorch, MLops, Python, Kubernetes, Ocr, Model deployment, GPU-based training or inference, Continuous model improvement, Scalable inference, Document AI, Production Monitoring, Retraining pipelines, Model evaluation, Spatial AI
Skills:
Java, Saas, Typescript, Gcp, Azure, Python, AWS, LangChain, CrewAI, MCP servers, Bias mitigation, Go, Auditability, LangGraph, Privacy, AutoGen, Agentic AI, AI coding tools, Cloud-native distributed systems, Responsible AI, Event-driven architectures
Skills:
Java, Predictive Analytics, Vue, React, AWS, Angular, Node.js, Python, Azure, Gcp, Computer Vision, Nlp, Go, EKS, LLMs, Milvus, LlamaIndex, vector databases, AI applications, Weaviate, LangChain, pgvector, Pinecone
Skills:
.Net Core, Typescript, Terraform, Python, AWS, Java, Sql, Azure, No-SQL, CI CD, GitHub Actions, LLM orchestration, RAG and GraphRAG, LangChain, multi-agent frameworks, guardrail design, prompt and context engineering, cloud-native applications, Claude Code, GenAI capabilities, crewAI, AutoGen, GitLab CI, ML AI features, GenAI frameworks, LlamaIndex
Skills:
Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Typescript, Javascript, Python, Testing Frameworks, AWS cloud services, AI agents, Prompt engineering, AI system design, Vector databases, and engineering management tools, Agile environments, Collaboration, Responsible AI practices, Modern planning, CI/CD pipelines, AI observability, Cloud-native applications
