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Showing 10 jobs
Skills:
Oauth, Vue, Microservices, Okta, Angular, React, Docker, Azure Ad, Kubernetes, Python, LangChain, model governance, vector database design and optimization, open-source LLMs, cloud deployment patterns, Pinecone, LangGraph, Microsoft Copilot, Milvus, ChromaDB, Weaviate, observability
Skills:
Python, Knowledge of cloud computing platforms and infrastructure, Knowledge of database management systems and data structures, Knowledge of software architecture and design patterns, Knowledge of project management tools and Agile methodologies
Skills:
Tensorflow, Pytorch, Python, LangChain, AutoGen, LangGraph, fine-tuning, deep learning frameworks, prompt engineering
Skills:
data engineering , Gcp, Apis, Cloud Computing, MLops, Model Training, Generative AI
Skills:
Git, Rest Apis, Python, LangGraph, Vector Databases, Agentic AI, Azure AI Foundry, Microsoft Copilot Studio
Skills:
Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs
Skills:
C, Angular, React, Javascript, Ruby, Big Data, Python, AWS, Java, Vue, Gcp, Azure, AWS Bedrock, fine tuning, Privacy, Hugging Face, Go, vector databases, LangGraph, Evaluation, responsible AI, Security, guardrail techniques, LLM frameworks, LangChain, LLM deployment, embedding models, prompt engineering, SageMaker, RAG techniques, OpenAI
Skills:
data engineering , Apis, Cloud Security, Cloud Computing, MLops, Context Window Management, semantic search, Model Training, Vector Embeddings, Cloud GCP Infrastructure, Generative AI
Skills:
Generative AI frameworks, AI ML frameworks, Security Protocols, data compliance frameworks, prompt engineering, vector databases, embedding models
Skills:
Cloud Platforms (AWS/Azure/GCP), Microservices & Real-Time Inferencing, Distributed Big Data Systems, Generative AI Solutions, ML Production Deployment, System Architecture Design
