TL;DR

Senior Fullstack Software Engineer (MLOps): Develop and maintain responsive frontend UI components and operationalize machine learning models with an accent on frontend integrations and ML infrastructure. Focus on designing user-friendly interfaces, implementing CI/CD pipelines for ML workflows, and ensuring model deployment, monitoring, and scaling.

Location: Remote (US)

Salary: $124,000 - $186,000 per year

Company

%hirify_global% is a leading platform for surveys and forms, trusted by millions including startups and Fortune 500 companies, combining powerful capabilities with AI-powered technology.

What you will do

Build and maintain responsive, reusable, and performant UI components.
Collaborate with designers and product managers to create intuitive user experiences.
Integrate frontend applications with APIs and ML-driven services.
Productionize ML models and implement CI/CD pipelines for ML workflows.
Contribute to model monitoring, data validation, alerting, and automation of deployment and retraining.
Troubleshoot and resolve issues across ML infrastructure and frontend integrations.

Requirements

Must be located in the US or able to work remotely within US time zones.
5+ years of professional engineering experience including frontend and DevOps/MLOps.
3+ years of ML engineering experience with Python and AWS.
Strong proficiency in React, TypeScript, JavaScript, HTML, and CSS.
Experience with CI/CD pipelines, Docker, Kubernetes, and MLOps concepts.
Strong collaboration and documentation skills.

Culture & Benefits

Flexible, hybrid work environment with thoughtfully designed offices.
Comprehensive benefits including medical, dental, vision, life, disability insurance, and 401(k) plan.
Paid holidays and time off, employee assistance programs.
Encouragement to attend in-person company events.
Commitment to inclusion and diversity in the workplace.