Remote Machine Learning Engineer

Description:

• The Machine Learning Engineer will collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions.
• This role involves building shared ML infrastructure and optimizing models for production.
• The position requires a blend of technical expertise, problem-solving skills, and the ability to integrate machine learning solutions into enterprise-grade products.
• Key responsibilities include developing, deploying, and maintaining state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
• The engineer will design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
• Collaboration with researchers to translate novel algorithms into production-ready solutions is essential.
• The role includes building and maintaining MLOps tools and practices, such as automated testing, continuous integration, and monitoring of deployed models.
• Optimizing model performance for speed, reliability, and scalability in production environments is a critical task.
• The engineer will partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.

Requirements:

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

Benefits:

• The position offers a competitive salary and benefits package.
• There is an opportunity to work with a leading company in AI in medical imaging.
• Flexible working hours and a fully remote position are provided, although some travel is required.
• The work environment is collaborative and innovative.
• Health insurance and retirement plans programs are included in the benefits.
• Professional development opportunities and support for continuous learning are available.