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Showing 10 jobs
Skills:
Model Context Protocol (MCP), Pytorch, XGBoost, Containers, Python, Sql, data pipelines, scikit-learn, CI/CD
Skills:
containerization , Api Development, System integration, Typescript, Microsoft Azure, Python, Kubernetes, Linux environments, Generative AI, Vector databases, MCP Model Context Protocol, pgvector-based solutions, API gateways, LiteLLM, Observability tools, Reverse proxies, LLM-based applications, RAG architectures
Skills:
.NET (C#), Github, JIRA, Tensorflow, Nltk, Azure Functions, Pytorch, Python, Aws Lambda, Notepad++, Proofpoint, Test Automation Tools, Jenkins, Azure ML, Microsoft 365, Winscp, Rest Apis, AWS Step Functions, database interactions, Azure Cognitive Services, Scikit-learn, spaCy, Pmp, Sharepoint
Skills:
Data Modeling, Devops, system integration, Apis, prompt engineering, agentic AI, AI coding tools, GitHub Copilot, Claude Code
Skills:
Servicenow, Enterprise Integration, Javascript, Cmdb, Business Rules, Now Assist, Generative AI, AI Agents, Flow Designer, CSDM, Virtual Agent, agentic workflows, Glide APIs, Predictive Intelligence, Script Includes, AI Search
Skills:
data engineering , Tensorflow, Microservices, Google Cloud, MLops, AWS, Pytorch, Python, Azure, Apis, large language models, generative AI, containerized application deployment
Skills:
Artificial Intelligence, Python, Pandas, MLops, Sql, Query, Apache Spark, PostgreSQL, Apis, Data Modelling, Llm, LangChain, AI/ML, Polars, Apache Iceberg, RAG, Agentic AI
Skills:
Data Science, Machine Learning, Kafka, Tensorflow, Pytorch, Python, AWS, Java, Natural Language Processing, Scala, React, Gcp, Spark, Azure, Computer Vision, CLAM, LangGraph, AI ML frameworks, LangChain, Generative AI, LLMs, Cloud platforms, Agent orchestration frameworks, Agentic AI, MCP, Data engineering tools
Skills:
Python, Machine Learning, Deep Learning, Tensorflow, Natural Language Processing, Cloud Computing, Neural Networks, Computer Vision, Data Analysis, AI Frameworks
Skills:
containerization , API design, Java, Distributed Systems, metrics, Gcp, Microservices, AWS, Kubernetes, Python, Azure, Docker, Embeddings, Fine-tuning, Caching, Log aggregation, Prompt engineering, SLA design, Model deployment, Vector stores, Event-driven patterns, Prompt management tools, SLO, Infrastructure-as-code, Streaming persistence strategies, tracing
