Join Our Team as an ML Ops Engineer at Hubs!

Embrace Your Individuality at Hubs

At Hubs, we believe in empowering you to be your authentic self. We understand that not everyone ticks all the boxes, which is why we encourage you to apply even if you don't meet every single requirement. As an Equal Opportunity Employer, we are dedicated to cultivating a diverse and inclusive team. Everyone is welcome to apply, regardless of race, color, national origin, sexual orientation, gender, age, or any other identity you may hold. Join us in making Hubs better and even more diverse.

About Hubs

Hubs, part of the Protolabs family, is transforming the manufacturing industry. We provide engineers and designers access to over 250 vetted manufacturing partners globally. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, we are trusted by leading innovators like NASA, HP, and Audi. Our solutions are not only revolutionary but have also reached outer space!

Role Overview: ML Ops Engineer

You will be instrumental in building, scaling, and refining our machine learning models. Focused on ML operations infrastructure, your work will enhance our quoting experience through improved efficiency, scalability, and robust data management. This position encourages collaboration across various functions, infusing a blend of tech expertise from DevOps, backend programming, data engineering, to ML and MLOps.

Tech Stack: Prefect.io, K8s, Python, AWS, Pytorch, DBT, Datadog

Key Responsibilities

• Develop and maintain infrastructure supporting the ML model lifecycle.
• Implement complex workflow orchestrations for efficient automation of data and ML pipelines.
• Enhance ML operations using cloud services and container orchestration for higher scalability and reliability.
• Deploy monitoring tools to ensure model performance and application availability.
• Drive continuous improvements in MLOps, advocating for high standards in coding, system design, and data management.
• Collaborate with our Machine Learning R&D and Data Engineering teams to support and advance project objectives.

What We Look For

• Experience in MLOps or a related field with a focus on ML model lifecycle management.
• Proficient in Python, with a fundamental understanding of ML modeling, data engineering, and DevOps skills.
• Strong technical understanding of workflow orchestration, cloud computing, and containerization.
• Excellent problem-solving abilities and a proactive approach to identifying and implementing innovative solutions.
• Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.

Why Join Hubs?

• Be part of a team that values diversity and individuality.
• Enjoy perks like annual bonuses, flexible hybrid work arrangements, and wellness programs.
• Benefit from dog-friendly offices and daily provided lunches to foster team unity.
• Allocate 20% of your work time to personal development and team collaboration projects.

Hiring Process

Our hiring process includes an initial conversation with our Talent Acquisition Team, followed by in-depth discussions with the hiring manager, practical assessments, team meetings, and interactions with our culture ambassadors. This thorough approach helps us ensure that we match you with the ideal role and team at Hubs.

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Ready to redefine the future of manufacturing? Apply now to become a part of our innovative team as an ML Ops Engineer!