AI & Engineering
MLOps Engineer
Operationalize ML with reproducible training, CI/CD, monitoring, and model governance. You'll help teams ship faster while keeping systems observable and safe.
Responsibilities
- •Partner with stakeholders to translate business goals into clear technical deliverables.
- •Design, build, and iterate on production-grade AI solutions with measurable impact.
- •Collaborate across engineering, data, and client teams to ensure reliable delivery.
- •Document decisions and share knowledge to raise the bar for quality and velocity.
Requirements
- •Demonstrated experience delivering software, data, or AI systems in a professional setting.
- •Strong communication skills and comfort working in cross-functional, client-facing environments.
- •Ability to reason about trade-offs (latency, cost, safety, maintainability) and make pragmatic decisions.
- •Curiosity and a growth mindset; you enjoy learning new tools and patterns quickly.