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Showing 10 jobs
Skills:
Python, Machine Learning, Deep Learning, Tensorflow, Pytorch, Nlp, Computer Vision, Api Development, Cloud Computing, Data Analysis
Skills:
react.js , Java, Machine Learning, Artificial Intelligence, Spring Boot, Deep Learning, Microservices, Typescript, MLops, Javascript, Restful Apis, Azure, Python, AWS, LangChain, Generative AI, Pinecone, prompt engineering, FAISS, ChromaDB, cloud-native application development, LlamaIndex
Skills:
Retrieval-Augmented Generation (RAG) pipelines, Microservices, Orms, Nosql, Docker, Flask, Python, Sql, Django, Git, FastAPI, Rest Apis, Vector search, GenAI, Embeddings generation, AWS Bedrock, LLM integration, Pinecone, Azure OpenAI, Chroma, Google Vertex AI, CI/CD workflows, LangChain, FAISS, Weaviate, LlamaIndex
Skills:
Kubernetes, Tensorflow, Django, Typescript, AWS, Pytorch, MySQL, FastAPI, Python, Azure, Docker, Gcp, Flask, PostgreSQL, Javascript, MongoDB, Restful Apis, OpenAI, Hugging Face, ML model integration, LangChain, AI model integration
Skills:
Numpy, Pandas, Pytorch, Flask, Sql, Python, Llama2, GenAI LLM tooling, Gemini, GPT
Skills:
JIRA, Nlp, Git, Docker, Agile, Python, Ml, Scrum, MLops, Context engineering, Prompt engineering, AWS container orchestration, Harness engineering, Gradio, AI specific workflows, Complex agentic workflow pipelines, AI ML libraries, Streamlit, diffusion, Loop engineering, Training and building models on AWS services or other cloud, Ai, VAE, Agentic solutions
Skills:
Cloud Technologies, Django, Software Development Life Cycle, Flask, Agile Methodologies, FastAPI, Python, Langchain, LLMs, Gen AI, LangGraph, CI CD pipelines
Skills:
Django, Docker, Kubernetes, Python development
Skills:
PostgreSQL, Agile Scrum, Microservices, Tensorflow, Pytorch, Docker, MySQL, Flask, Python, AWS, Django, Git, Gcp, MLops, FastAPI, MongoDB, Rest Apis, Azure, Kubernetes, RQ, Hugging Face, Chatbot development, LangChain, Generative AI, LLMs, CI/CD pipelines, OpenAI
Skills:
bedrock , Python, AWS, LangChain, LangGraph, embeddings, AgentCore, RAG, vector databases
