Senior AI​/Machine Learning Engineer - Healthcare

Our client is seeking a visionary Senior AI/Machine Learning Engineer to join their cutting-edge R&D team, operating in a fully remote capacity. This role is pivotal in developing and deploying advanced AI models to revolutionize healthcare diagnostics and treatment pathways. You will be instrumental in leveraging vast healthcare datasets to build predictive models, enhance clinical decision-making, and drive innovation in personalized medicine.

This is an unparalleled opportunity to work on impactful projects from anywhere, contributing to the future of health technology and operating within a culture that champions remote collaboration and innovation.

• Design, develop, train, and deploy sophisticated machine learning models for healthcare applications, such as predictive diagnostics, treatment optimization, and drug discovery.
• Process and analyze large, complex healthcare datasets, including electronic health records (EHRs), imaging data, and genomic information.
• Collaborate with data scientists, domain experts, and software engineers to integrate AI solutions into existing healthcare platforms and workflows.
• Implement and maintain robust MLOps pipelines for model monitoring, versioning, and continuous improvement in production environments.
• Research and evaluate state-of-the-art AI/ML algorithms and techniques relevant to healthcare challenges.
• Communicate technical concepts and findings effectively to diverse audiences, including technical teams and business stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on developing and deploying models in production.
• Proficiency in programming languages like Python and experience with ML frameworks such as Tensor Flow, PyTorch, or scikit-learn.
• Solid understanding of various ML algorithms, deep learning architectures, and statistical modeling techniques.
• Experience working with large datasets and cloud platforms (AWS, Azure, GCP) is highly desirable.
• Excellent communication and collaboration skills, with proven ability to excel in a remote-first work environment.

• Highly competitive salary and significant equity options.
• Comprehensive health, dental, and vision insurance for employees and dependents.
• Flexible work hours and a fully remote work setup, allowing for excellent work-life balance.
• Generous budget for professional development, including online courses, conferences, and certifications.
• Opportunity to work on challenging and impactful projects that are shaping the future of healthcare.