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Showing 10 jobs
Skills:
Data Analytics, Machine Learning, test automation, Python, Sql, LabVIEW, R, generative AI, AI agent development
Skills:
Qwen), Inference and serving frameworks (e.g. vLLM), LLMs (e.g. OpenAI-style APIs, Jax, Pytorch, Python, Vector databases, LLaMA
Skills:
Gcp, Azure, Python, AWS, orchestration tooling, model evaluation metrics, modern machine learning frameworks, governance frameworks, retrieval-augmented systems, cloud AI services, data ingestion pipelines, reliable scalable data pipelines, agentic workflows, LLM-based solutions, automated CI CD practices, system APIs
Skills:
Git, Python, Azure DevOps, LangGraph, LangChain, MCP servers, AI agents, Microsoft Agent Framework, Copilot Studio
Skills:
Cloud platforms (AWS, Azure), Git, Gcp, Rest Apis, Python
Skills:
Retrieval-Augmented Generation (RAG), Json, Docker, Machine Learning, Apis, Natural Language Processing, software testing, Rest Services, Git, Python Programming, Kubernetes, embeddings, Google Gemini, Pinecone, Azure OpenAI, LangGraph, Chroma, Azure AI Search, semantic search, LangChain, CrewAI, DevOps practices, cloud platforms, Anthropic, Semantic Kernel, AutoGen, CI/CD pipelines, context management, Milvus, OpenAI, Weaviate, LlamaIndex, function calling
Skills:
object detection , Tensorflow, Pytorch, Docker, Python, Cloud deployment, C++, Deep Learning, Cuda, MLops, Computer Vision, Segmentation, TensorRT, Quantization, Tracking, Model Optimization, ONNX, DeepStream, Real-Time Inference Pipelines, Production Video Systems, NVIDIA Ecosystem, Jetson Deployment, RTSP Video Streaming, Multi-Camera Processing, Inference Acceleration
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Databases, Computer Vision, Version Control, Testing, Api Integration, Python backend development, software development practices
Skills:
Tensorflow, Pytorch, Computer Vision, Natural Language Processing, Python, Speech Recognition, AI and machine learning
Skills:
Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), MLops, Docker, Distributed Systems, FastAPI, Helm, Python, Kubernetes, LangChain, Asynchronous processing, GitOps, LLMOps, AI Assisted Software Development Platforms, Workflow orchestration, LangGraph, Argo CD, Message-queuing technologies, CI/CD pipelines, Event-driven architectures
