Founding AI/ML Engineer, 1upHealth

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field; a Ph.D. or equivalent experience is a plus
• 5+ years of hands-on experience in developing AI models using techniques such as deep learning (e.g., CNNs, RNNs) and NLP. Experience in building intelligent systems that leverage various AI methodologies is essential
• Strong understanding of machine learning concepts, algorithms, and techniques. Hands-on experience with ML frameworks such as PyTorch or TensorFlow is preferred
• Experience in building data pipelines for large-scale data processing. Proficiency in SQL for extracting and manipulating data from databases or data lakehouses is required
• Demonstrated success in deploying and monitoring ML models in production environments while following MLOps best practices
• Solid understanding of cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines
• Excellent ability to communicate progress, trade-offs, and results to team members across functions

Desirable

• As our first engineering hire focused on Artificial Intelligence, you will have a unique opportunity to shape the technical direction of the company, define best practices, and build high-impact AI-driven solutions from the ground up
• You will work closely with cross-functional teams to translate complex healthcare challenges into innovative products that leverage advanced AI techniques
• Collaborate with leadership and stakeholders to establish a long-term AI vision and roadmap that aligns with our mission
• Design and implement end-to-end AI systems that incorporate machine learning models, natural language processing (NLP), or other relevant AI technologies
• Create predictive models, recommendation engines, and other data-driven solutions that address clinical and operational needs in healthcare
• Serve as the technical lead for all AI projects, providing guidance and mentorship to future hires in data science, machine learning, and AI
• Utilize advanced data processing and storage technologies (e.g., Apache Spark, Apache Iceberg) to efficiently manage large datasets while ensuring data integrity and security
• Implement A/B testing and statistical modeling to validate new approaches and continuously improve model performance
• Design and develop AI tools that can be called via API or through batch transformations for large datasets
• Work closely with Product Managers, Engineering partners, and Business stakeholders to understand requirements, define success metrics, and ensure seamless integration of AI solutions into products