Senior Software Engineer, Prenuvo

• Bachelor’s or Master’s degree Computer Engineering, Computer Science or a related field
• At least 5 years of software engineering experience, on or adjacent to machine learning engineering teams
• Proficiency in Python language, tooling, and ecosystem for dependency management, packaging, testing, and deployment of production-quality code (e.g., Poetry, Pytest, Pylint)
• Hands-on experience with at least one of the mainstream deep learning frameworks and their ecosystem (e.g., for data pre-processing and distributed training) such as Tensorflow and PyTorch
• Proven experience with CI/CD for automated testing and deployment of ML pipelines and services (e.g., Airflow, Github Actions, Jenkins)
• Familiarity with a ML workflow platform (e.g., MLFlow, Weights and Biases, SageMaker)
• An unwavering sense of ownership and collaboration, emphasis on quality and engineering rigor, and adaptability in a fast-paced environment

Desirable

• We are looking for a Senior Software Engineer with experience in working on machine learning infrastructure and tooling, to help streamline and scale our data science and machine learning workflows
• Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise
• Lead the design and implementation of secure, scalable, and reliable ML infrastructure, focusing on data ingestion, training and inference pipelines, active learning, and reproducible data transformations
• Design and manage CI/CD pipelines for ML training, development, and deployment workflows
• Package, test, build, and deploy containers and ML artifacts to ensure efficient, clean, and reproducible ML workflows
• Establish best practices for automation, monitoring, and scaling of ML lifecycle steps
• Collaborate with ML scientists, engineers, and radiologists to turn research prototypes into production-ready systems
• Produce and maintain documentation to support regulatory clearances (FDA, IDE, etc.)