ML Algorithm Engineer

Responsibilities:

• Develop advanced ML algorithms using data from proteanTecs Agents embedded in silicon. Example domains include:
• Lifetime predictions
• Clustering and dimensionality reduction
• Parametric modeling and screening
• Time-series forecasting
• Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
• Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
• Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Requirements:

• B.Sc. in Electrical Engineering – MUST
• 5+ years experience in algorithm development, preferably in complex, data-intensive environments
• Deep expertise in Python, including statistical and machine learning packages
• Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging· Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling)Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer)