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Showing 10 jobs
Skills:
containerization , Microservices, Tensorflow, MLops, Pytorch, Gcp, DevSecOps, Azure, Api Management, AWS, LangChain, LLM integration, Hugging Face, AI architecture, Vector Databases, RAG Retrieval-Augmented Generation
Skills:
containerization , Microservices, Tensorflow, DevSecOps, Pytorch, Gcp, MLops, Api Management, Azure, AWS, LangChain, LLM integration, Hugging Face, AI architecture, Vector Databases, RAG Retrieval-Augmented Generation
Skills:
containerization , Microservices, Tensorflow, DevSecOps, Gcp, Pytorch, MLops, Azure, Api Management, AWS, LangChain, LLM integration, Hugging Face, AI architecture, Vector Databases, RAG Retrieval-Augmented Generation
Skills:
containerization , Microservices, Tensorflow, DevSecOps, Gcp, MLops, Pytorch, Azure, Api Management, AWS, LangChain, LLM integration, Hugging Face, AI architecture, Vector Databases, RAG Retrieval-Augmented Generation
Skills:
containerization , Microservices, Tensorflow, DevSecOps, Gcp, MLops, Pytorch, Azure, Api Management, AWS, LangChain, LLM integration, Hugging Face, AI architecture, Vector Databases, RAG Retrieval-Augmented Generation
Skills:
, workflow optimization , Data Management, Excel, Automation, Analytics, Strategic Problem-Solving, Governance Structures, Reporting and Visualization Tools, Microsoft Office Suite, Operational Excellence, AI Principles, Order Management, Powerpoint, performance metrics, Commercial Operations
Skills:
data engineering , MLops, model evaluation, OpenAI, Claude, Zapier, automation workflows, agentic AI architectures, N8N, AI Solutions, LangChain, modern software development practices, AI coding tools, LLM-powered applications
Skills:
Solution Design, AI systems integrations, platform trade-offs, orchestration workflows, telephony integrations, implementation decisions
Skills:
Ml, Gcp, Spark, Azure, Python, Sql, AWS, cloud platforms, Ai
Skills:
data engineering , Ml, Tensorflow, MLops, Pytorch, Gcp, Azure, Python, AWS, GenAI, LLMs, Cloud platforms, Ai, vector databases, prompt engineering, ML frameworks, scalable AI deployment
