Customer Solutions Engineer - Remote

Overview

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.

In Short

• Collaborate with clients to fine-tune foundation models for specific radiology tasks.
• Deliver demos and facilitate technical discussions with potential clients.
• Serve as the primary technical contact for clients, ensuring successful implementation.
• Optimize AI models for clinical decision-making workflows.
• Work closely with product, engineering, and client engagement teams.
• Assist in developing technical materials and documentation.
• Translate complex technical findings into actionable insights.
• Document platform and tooling requirements for product development.
• Prepare model details for client regulatory documentation.
• Support clients in integrating machine learning solutions.

Requirements

• 7-10 years of total experience, including 3-5 years in a technical client-facing role.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Understanding of radiological software (PACS, DICOM).
• Strong communication skills for explaining technical concepts.
• B.S. degree in a quantitative field such as Computer Science or Engineering.

Benefits

• A key role in a fast-growing startup with immense potential.
• An innovative, collaborative, and supportive work environment.
• Competitive salary and benefits package.