Machine Learning Engineer

Job not on LinkedIn

August 3

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Logo of HOPPR

HOPPR

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals

HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.

📋 Description

• The Machine Learning Engineer will collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions, building shared ML infrastructure and optimizing models for production. • This role requires a blend of technical expertise, problem-solving skills, and the ability to integrate machine learning solutions into enterprise-grade products, driving innovations that improve patient care.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years' experience in relevant roles. • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow. • Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring. • Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker and Terraform. • Familiarity with healthcare data and clinical workflows is a plus. • Exceptional problem-solving skills, ownership mindset, and a collaborative approach. • Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

🏖️ Benefits

• Competitive salary and benefits package. • Opportunity to work with a leading company in AI in medical imaging. • Flexible working hours and fully remote position, some travel is required. • Collaborative and innovative work environment. • Health insurance and retirement plans programs. • Professional development opportunities and support for continuous learning.

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