MLOps Engineer

Motive is a pioneering company that's transforming physical operations management through innovative technology solutions. Serving over 120,000 customers across diverse industries, from Fortune 500 enterprises to small businesses, Motive's platform integrates safety, operations, and finance into a single comprehensive system.

As an MLOps Engineer at Motive, you'll be at the forefront of developing and implementing crucial infrastructure and platform initiatives for AI/ML pipelines. This role combines technical expertise with leadership opportunities, as you'll be responsible for building scalable systems for model training and inference while also mentoring team members.

The position requires a strong background in both software engineering and machine learning operations, with hands-on experience in tools like Kubernetes, Docker, and cloud platforms. You'll work on challenging problems related to scaling AI pipelines, maintaining system reliability, and implementing best practices for model deployment and monitoring.

What makes this role particularly exciting is the opportunity to work with cutting-edge AI technology while making a tangible impact on various industries. You'll collaborate with cross-functional teams, from backend to frontend, ensuring the successful delivery of end-to-end product features that help businesses operate more safely and efficiently.

The ideal candidate will bring not only technical expertise but also strong communication skills and a collaborative mindset. This role offers the perfect blend of technical challenges, leadership opportunities, and the chance to work on technology that's making a real difference in how physical operations are managed across multiple industries.