
Search by job, company or skills
Showing 10 jobs
Skills:
Cloud platforms (AWS, Azure), Git, Gcp, Rest Apis, Python
Skills:
Frontend Development, Cloud deployment, React, Typescript, Gcp, Rest Apis, Azure, Python, AWS, LangChain, containerisation, Anthropic, agentic orchestration frameworks, LangGraph, AutoGen, LLM APIs, OpenAI, retrieval vector database systems
Skills:
Gcp, Azure, AWS, LLM Fine-tuning RLHF and Prompt Engineering, Production deployment and scaling of AI applications, RAG Multi-Agent Systems and AI Agent Architecture, Generative AI LLMs and Transformer architectures, MCP A2A and AI orchestration frameworks, Model Evaluation Guardrails and Performance Optimization
Skills:
Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Model Fine-Tuning, AI Architecture, Generative AI, Agentic AI, Multi-Agent Systems, AI Evaluation, Knowledge Graphs
Skills:
Gcp, Azure, AWS, AI protocols, transformer-based LLMs, knowledge graphs, AG-UI, scalable AI tooling ecosystem, context engineering, prompt engineering, A2A, RAG, A2UI, generative AI models, MCP, RLHF
Skills:
Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Model Fine-Tuning, AI Architecture, Generative AI, Agentic AI, Multi-Agent Systems, AI Evaluation, Knowledge Graphs
Skills:
software architectural design , technological proficiency , Infrastructure as Code (IaC), production deployment , Api Development, Software Engineering, MySQL, Kubernetes, AWS, Production Environment, Engineering Management, AI Models, Workflow Orchestration, Distributed Platforms, Maintain Quality Standards, business systems
Skills:
PyTorch Geometric (PyG), Graph Neural Networks (GNNs), Large Language Models (LLMs), Pytorch, Verilog, Python, EDA Tools, systemverilog
Skills:
Deep learning frameworks (TensorFlow, Data processing (pandas, ML libraries (scikit-learn), Version control (Git), PyTorch), Containerization (Docker), Orchestration (Kubernetes), NumPy), Spring Boot, MLops, Distributed Systems, API design principles, AI ML Expertise, Agentic AI, Microservices Architecture
Skills:
Api Integration, Git, Docker, Python Programming, Version Control, Automated Testing, Model monitoring, Machine Learning engineering, CI/CD
