Full-Time ML Customer Solutions Engineer

HOPPR is at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model.

Our deep learning platform integrates diverse data sources with cutting-edge AI/ML development.

Role Description:

The Customer Solutions Engineer will support healthcare organizations in integrating machine learning foundation models into their radiological clinical software, assisting with model fine-tuning, prompt engineering, and pre-sales activities such as delivering demos.

Key Responsibilities:

• Fine-Tuning: Collaborate with clients to fine-tune foundation models for specific radiology tasks (e.g., anomaly detection, image segmentation) using various fine-tuning methodologies such as prompt engineering, parameter-efficient fine-tuning, etc.
• Pre-Sales Support and Demos: Partner with client experience to deliver demos and facilitate technical discussions, highlighting the foundation model’s capabilities to potential clients.
• Client Support and Integration: Serve as the primary technical contact for our clients, working closely with application developers and serving as a trusted advisor to implement solutions using our foundation models.
• Workflow Optimization: Ensure AI models fit seamlessly into radiological workflows, optimizing outputs for clinical decision-making.
• Cross-Functional Collaboration: Work closely with product, engineering, and client engagement teams to address client needs and feedback. Assists in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions.
• Documentation: Assist with development of technical materials, including integration guides, training documents, and best practices for model fine-tuning. Solicit, summarize and document platform and tooling requirements and feature requests for the product development team. Preparation of model details to be used for client regulatory documentation as it relates to specific fine-tuning use cases.

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