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...