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Showing 10 jobs
Skills:
Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving
Skills:
Azure Cloud Services, Python, LangChain, CrewAI, AutoGen, GitHub Copilot, Qdrant, Azure AI Search, Pinecone, LlamaIndex, Azure AI Foundry
Skills:
Google, Model Context Protocol MCP, Lang Graph, vector databases, Lang Chain, Anthropic, Gen AI, LLM applications, Open AI, retrieval-augmented generation pipelines, hybrid search, Llama Index, RAG, graph-native vector indexes, AI ML systems
Skills:
data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering
Skills:
Sql, Tensorflow, Numpy, Git, Pandas, Pytorch, Databricks, Rest Apis, Python, Scikit-learn, ADLS Gen2, MLflow, Delta Live Tables, Azure Data Lake Storage, Delta Lake, AI ML libraries
Skills:
Python, Hugging Face TGI, layout-aware models, rule engines, vision-language models, TesserAct, exception routing, GPU-backed serving stacks, vLLM, deterministic validation systems, OCR engines, PaddleOCR, schema enforcement
Skills:
Sqlalchemy, API security, PostgreSQL, Rabbitmq, Django, Sqlite, Flask, FastAPI, Python, Django ORM, LangChain, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, langSmith, RAG methodologies, LangGraph, Java Spring Boot, fine-tuning LLMs
Skills:
Rdf, Docker, Neo4j, Python, FastAPI, Kubernetes, networkx, DeepEval, Qdrant, Llama 3, Memgraph, Pinecone, LangGraph, Hugging Face tools, GraphRAG, Mistral, Qwen, Pydantic, Ragas, TruLens, LangChain, PEFT, owl, PGVector, FAISS, LoRA, Unsloth, Weaviate, QLoRA
Skills:
Artificial Intelligence (AI), Pyspark, Full-stack AI Integration Frontend to Backend, Data Engineering Skills, Advanced Prompt Engineering, Vector databases and knowledge stores, Multi-Agent System Design Orchestration, AI/ML solution implementation, RAG Retrieval-Augmented Generation systems, LLM Observability Evaluation Monitoring LLMOps, CI/CD pipelines, SQL proficiency and query optimization
Skills:
Algorithms, C, Java, Tensorflow, Linux, Rest Apis, System Design, AWS, Pytorch, data mining, Kubernetes, Python, Azure, Gcp, Docker, data structures, scikit-learn, Go, Statistics, Visualization
