Software Engineer

We are seeking an MLOps Engineer who has a deep passion for machine learning, operations, and technology, combined with a strong drive to implement scalable and efficient solutions. We foster a professional environment where experienced engineers collaborate and contribute to the team's success while continuously enhancing their own skills. As an MLOps Engineer, you will have the unique opportunity to play a pivotal role in building and maintaining our machine learning infrastructure and operations. We value MLOps engineers with a diverse skill set, a comprehensive background in both machine learning and DevOps, and a genuine interest in optimizing the deployment, monitoring, and maintenance of ML models beyond standard practices.

Role:
- Design, implement, and maintain scalable ML infrastructure for model training, deployment, and monitoring.
- Ownership of the technical architecture for new ML operations features and enhancements.
- Lead the development and optimization of ML pipelines, ensuring robust and efficient workflows.
- Stay updated and lead technological advances in ML operations and infrastructure.
Collaborate with data scientists and engineers to integrate ML models into production systems.