
Search by job, company or skills
Showing 10 jobs
Skills:
BigQuery, Python, Cloud Functions, GenAI APIs, Vertex AI, Google Kubernetes Engine
Skills:
Azure Functions, Azure DevOps, LangChain, Entra ID, Prompt Flow, GPT-4o, ADLS Gen2, Azure Key Vault, Azure Blob Storage, AKS, Azure OpenAI, GPT-4o-mini, Azure Container Apps, Semantic Kernel, LangGraph, GitHub Actions, Azure AI Studio, Azure AI Search, Application Insights, Azure Monitor
Skills:
Microsoft, Python, LangGraph, Vector Databases, Generative AI, Agentic AI, AI Foundry, Copilot AI tools, RAG, Azure AI
Skills:
Python, LangChain, AI Agents, Vector databases, LangFlow, AI memory frameworks, Agentic AI systems, Generative AI architectures, LangGraph, semantic search, Tool calling frameworks, Embedding models, MCP Server implementation, Function calling, Memory sharing architectures, RAG pipelines, Multi-agent orchestration
Skills:
Sql, Pytorch, Tensorflow, Python, Pyspark, vector databases, document chunking strategies, Hugging Face Transformers, Microsoft Azure OpenAI, Generative AI Frameworks, Amazon Bedrock
Skills:
Python, vector search, AWS Bedrock, data pipelines, AWS serverless architecture, generative models, AI coding assistants, Azure OpenAI, version control Git, GitHub Copilot, RAG, vector database
Skills:
bedrock , Databricks, Sql, Tensorflow, Hadoop, Pytorch, Kubernetes, Nosql, Python, Docker, Azure ML, Spark, FAISS, RAG pipelines, MLflow, Azure OpenAI, Scikit-Learn, AWS SageMaker, Weaviate, Transformer architectures, Pinecone, Chroma, GCP Vertex AI
Skills:
Python, Azure, AWS, Docker, Kubernetes, Llm
Skills:
Java, Golang, Unix, Rust, Apis, Linux, Ruby, Python, AWS, Salesforce, orchestration frameworks, embeddings, LLMs, AI GenAI, vector databases, prompt engineering
Skills:
Databricks, cloud, Gcp, Microservices, AWS, Python, Azure, Hypothesis Testing, Apis, LangChain, evaluation frameworks, LLMs, LlamaIndex, feature engineering, Agents, Gen AI, embeddings, Weaviate, RAG, Pinecone, Statistical Modeling, Async streaming architectures, vector databases, AutoGen, FAISS, prompt engineering, model observability
