Found Description
Requirements
- Bachelor's required; Master's preferred in CS, Engineering, or related.
- 5–8+ years in ML Engineering, MLOps, or high‑scale ML systems.
- Deep expertise in Spark, Azure Databricks, MLflow, Kubernetes, and Docker.
- Proven track record deploying ML at enterprise scale with audit and monitoring layers.
- Familiarity with hybrid/multi-cloud infrastructure.
Soft Skills
- Strategic, persuasive, and business‑oriented communication.
- Strong storytelling to explain, defend, and sell complex solutions.
- Ability to lead complex conversations with clients and senior stakeholders.
- Clear, structured, and confident responses to objections or ambiguous scenarios.
- Ability to translate technical topics into business impact and decision‑making.
- Ability to build trust, credibility, and alignment through communication.
Nice‑to‑have
- AI Tooling Profic...