• As a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical ML/AI technologies. Immediate projects and responsibilities may include:
• Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams
• Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
• Working closely with Machine Learning and Data/Software Engineering teams to develop processes for model deployment/monitoring for various applications.
• Improving and evolving frameworks to manage the lifecycle of model development from research to production to monitoring to continuous improvement

Requirements for the role

• Bachelor s degree or MS in Computer Science or related technical area with preferably 5-6 years of relevant industry experience developing productionized code in machine learning, data engineering, or related field
• Excellent communication skills both written and verbal
• A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
• Interest in early research and development through to product roll-out in the fields of surgical AI and surgical robotics
• Hands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similar
• Knowledgeable about MLOps platforms and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
• Experience with Python and SQL
• Experience with cloud compute environments such as AWS, GCP

Key Skills

GCP; Consulting; Machine learning; Deployment; Continuous improvement; Monitoring; Robotics; SQL; Python

About Company

Founded in 2013 and headquartered in New York with operations across North and Latin America and Asia, Fusemachines is a provider of Enterprise AI talent solutions.