
Search by job, company or skills
Showing 10 jobs
Skills:
.NET, Java, C, Cloud Technologies, React, Typescript, Javascript, Electron, Python, telemetry systems, GitHub Copilot, experimentation frameworks, WebView2, Azure cloud-native services
Skills:
Ml, Distributed Systems, System Design, API design, LLMs, Production Operations, Ai, prompt engineering, RAG architectures
Skills:
Machine Learning, Agile Methodologies, Devops, mobile development, Software Engineering, marketplace platforms, data platforms, cloud platforms, analytics tools, integration frameworks, third-party logistics systems, microservices architecture, WMS systems, B2B systems
Skills:
Devops, Aws Services, Distributed Systems, System Design, Cloud Infrastructure, Software Engineering, microservices architecture, CI CD best practices, API-first platforms, large-scale backend systems
Skills:
.Net Technologies, Devops, Bdd, Tdd, Front End Web Development, AWS, REST and API Development, Secure Coding Practices, Software architecture with modern patterns and practices, Micro-services Architecture, CI CD
Skills:
Agile Software Development, Scrum, Application architectural patterns such as MVC, Cloud platform AWS, API tools such as Swagger, Azure DevOps CI CD deployments, Adobe Digital Asset Management
Skills:
Java, Jenkins, Azure, Python, AWS, Azure DevOps, Harness, GitHub Actions, GitLab CI CD
Skills:
Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms
Skills:
data engineering , solution architecture, Apis, Version Control, Testing, embeddings, multi-agent systems, transport technologies, knowledge graphs, Optical Networking, CI CD deployment, generative AI technologies, vector databases, reinforcement learning, human-in-the-loop workflows, automation platforms, RAG prompt engineering, responsible AI principles, model evaluation techniques, semantic search architectures, agentic AI frameworks, AI ML engineering, LLMs, cloud platforms, planning frameworks, ip networking, end-to-end AI solution delivery
Skills:
data engineering , Metadata Management, Cloud Services, Data Quality, Data Governance, CI CD and MLOps Tooling, Cloud Native Data Platforms, Data Observability, AI Enabled Analytics, Generative BI, Agentic AI and Orchestration Frameworks, Data Ingestion and Processing Platforms, Ai, Data Quality and Validation Frameworks, AI Assisted Analytics, Data Platforms, Distributed Data Systems, Cloud Data Certifications, Data Drift Bias and Consistency Monitoring Tools, Feature Stores and Embedding Pipelines, LLM and Foundation Model Platforms, Metadata Lineage and Governance Platforms
