Related skills
node.js react docker python kubernetes📋 Description
- Embed with enterprise customers to diagnose challenges and map data landscapes.
- Lead end-to-end design and delivery of AI workflows, RAG pipelines, and knowledge graphs.
- Drive rapid prototypes and POCs to show value within days.
- Own full lifecycle: scoping, architecture, build, deploy, and optimize.
- Architect production-grade AI apps on Foundry/Private Cloud with GPU infra.
- Build scalable data pipelines across structured and unstructured data using ETL/ELT.
🎯 Requirements
- BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field.
- 10+ years in software/data engineering or AI/ML delivery; 4+ years in customer-facing roles.
- Proven track record deploying AI/ML at enterprise scale.
- Deep full-stack: Python, Node.js/Go, React or Vue, SQL/NoSQL.
- Hands-on with LLMs, prompt engineering, vector databases, data pipelines, RAG, and agent orchestration.
- Strong DevOps: Docker, Kubernetes, CI/CD, GPU infra; travel up to 25% for on-site engagements.
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