Hire an engineer who works across machine learning and software development

Engage Silver Rubanza for hands-on work spanning data exploration, model development, evaluation, deployment, monitoring, integration, and modern web applications.

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What matters

Hiring for work that spans both modeling and production software
Finding experience across multiple stages of the ML lifecycle
Evaluating hands-on work beyond a list of technical skills

Benefits

Machine learning and software engineering capabilities in one profile
Experience collaborating across the machine learning pipeline
A project portfolio covering deployed ML systems, applied AI, and web development

Evidence

Over 7 years of hands-on machine learning experience
Over 9 years of software application development experience
Portfolio includes Modal and BentoML deployments, applied AI projects, Kaggle work, and React websites

Questions

What roles align with Silver's background?

His background aligns with machine learning engineering and software development work, particularly roles involving model development, testing, deployment, integration, or modern web applications.

Interested?

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