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Showing 9 jobs
Skills:
Github, Numpy, Pandas, FastAPI, Python, LangChain, Azure OpenAI Service, Grog, Advanced GenAI Agentic Framework Concepts, model customization, AI Agents Tool Calling, vector databases, Azure AI Foundry, prompt engineering, LangGraph, Cloud Application Integration Deployment, retrieval strategies, context management, Amazon Bedrock, semantic search, AI Search Index services
Skills:
Rest Apis, Redis, Routers, Elasticsearch, MongoDB, agentic AI, Agentic AI MCP, multi-modal agents, RAG systems knowledge, JSON webhooks, optimization-evaluation workflows, Scraping Techniques, Parallel Processing, LLM models Claude OpenAI, Complex AI automation workflows and AI wrapper techniques, Fullstack Python, custom node development using JavaScript
Skills:
Python, Javascript, prompt engineering, LLMs
Skills:
audit trail , Templates, Logging, Microservices, Data Science, LLMs, reusable components, prompt injection defenses, ML APIs, PII handling, feedback capture, RAG agents, SDKs, Evaluation, Compliance, finetuning, Security, model training, Safety, online evaluation
Skills:
Computer Vision, Deep Learning, Yolo, Langchain, Ollama, Rasa, Paddle OCR
Skills:
data wrangling , Cloud Infrastructure, Containers, Python, vector search systems, LLMs, model training, RAG-based systems, CI CD, document knowledge bases, NLP tasks, traditional ML models, feature extraction, large language models, LlamaIndex
Skills:
CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic
Skills:
Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming
Skills:
Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, vector databases, MLflow, Pinecone, LLM architecture, MLOps practices, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, LangChain, APIs from major AI providers, embedding preparation, text processing, LLM training methodologies, Neural Network fundamentals, sentence transformers, cloud computing platforms
