Senior Machine Learning Engineer (MLOps), Promaton

Join our passionate team and be a key player in building the next generation of machine learning (ML) solutions! As a Software Engineer in Machine Learning, you’ll collaborate closely with both platform and product teams, ensuring rapid development cycles and highly scalable ML solutions. This is your chance to contribute to our ongoing success story – we already boast 5 successful ML products processing thousands of cases weekly for over 1,000 customers.

Are you ready to take our ML capabilities to the next level? Apply now.

Responsibilities

• Improving and contributing to the design and architecture of a complex set of interdependent ML pipelines.
• Following MLOps best practices by maintaining and extending our CI/CD pipelines, dashboards, dev/test/prod environments, autoscaling, etc.
• Working with an accomplished team of machine learning researchers and engineers that already have 8 patents on their name.
• Helping researchers launch new products and help maintain the ones  already used by customers.

Requirements

• 4+ years experience working with Python and Pytorch
• Solid understanding of software development best practices
• A passion for software and ML pipeline design concepts
• The git ecosystem is your natural habitat
• Know how good tests improve developer velocity
• Experience with continuous deployment of live products
• Experience with AWS/GCP/Azure or Kubernetes deployment
• Good collaboration and communication skills

Bonus points

• Experience with experiment, model and data tracking
• Knowledge of machine learning fundamentals
• Worked with 3D data, like meshes and point clouds
• Experience working asynchronously with a distributed team
• Previous experience in medical or other regulated field