Forward Deployed ML Engineer

Bachelor's or Master's degree in Computer Science, Electrical or Biomedical Engineering, Applied Mathematics, or related technical field. Strong programming skills (Python, C++, or similar). Experience with cloud environments (OCI, AWS, Azure, GCP). Knowledge of ML frameworks (PyTorch, TensorFlow) and deployment tools (Docker, Kubernetes). Familiarity with data pipelines, distributed systems, or ML deployment. Comfort with APIs, SDKs, and integration of third-party systems. Ability to navigate ambiguity, adapt quickly, and deliver solutions in unstructured environments. Strong communication skills and ability to engage technical and non-technical stakeholders. Willingness to travel to customers when needed. Experience in medical imaging (DICOM, PACS, radiology workflows) desired.

Understand imaging AI challenges with partners. Translate clinical workflows and regulatory requirements into technical specifications. Serve as the technical face of HOPPR during deployments. Build and customize pipelines for AI model fine-tuning, validation, and deployment. Write production-grade code to integrate APIs, data pipelines, and ML models. Prototype rapidly while ensuring scalability and compliance. Lead on-site or remote deployments. Troubleshoot integrations across hospital PACS, cloud infrastructure, and enterprise systems. Monitor system performance and optimize for reliability, speed, and compliance. Partner with HOPPR teams to extend platform capabilities. Bring customer feedback into product roadmaps. Contribute to documentation, demos, and developer resources.