Machine Learning Engineer (Remote)

📋 Description

• • Join Availity, a leading provider of revenue cycle and business solutions for healthcare professionals, as a remote Machine Learning Engineer. In this pivotal role, you will be instrumental in advancing our mission to connect providers, payers, and patients, ultimately enabling them to build healthier, thriving organizations and ensuring patients receive the care they need sooner.
• • You will leverage cutting-edge Natural Language Processing (NLP) and Artificial Intelligence/Machine Learning (AI/ML) toolkits to develop innovative solutions that significantly improve healthcare processes. Your expertise will be crucial in building and refining machine learning architectures designed to enhance Availity's capabilities, particularly in the critical area of prior authorization.
• • A core responsibility will be the design and implementation of robust machine learning operations (MLOps) practices. This includes designing experiments to rigorously test and validate new architectures, and subsequently deploying selected models as scalable service endpoints.
• • Continuous improvement is key; you will be responsible for monitoring deployed models in production, analyzing their performance, and implementing necessary updates to optimize accuracy and efficiency. Automation of these processes will be a significant focus, aiming to streamline operations and reduce manual intervention.
• • You will play a vital role in managing the entire data lifecycle for machine learning models, from understanding and maintaining data pipelines that ingest raw sources to curating feature stores that feed into model training and inference.
• • Effective communication is paramount. You will collaborate closely with your team, providing regular updates on project status, proactively identifying and communicating blockers to seek assistance, and offering support to fellow team members.
• • Adherence to stringent security and data protection policies is non-negotiable. You will ensure all duties are performed with the utmost care for sensitive healthcare data, including Protected Health Information (PHI) and Personally Identifiable Information (PII).
• • This position offers the flexibility of being 100% remote within the United States, allowing you to contribute to Availity's success from your chosen location.
• • You will contribute to a dynamic and collaborative environment, where your technical skills will directly impact the efficiency and effectiveness of healthcare operations.
• • The role demands a proactive approach to problem-solving, a deep understanding of machine learning principles, and a passion for applying these to real-world challenges in the healthcare industry.
• • You will have the opportunity to work with a diverse set of technologies and tools, expanding your skillset and contributing to impactful projects.
• • Your work will directly influence how healthcare providers interact with payers and patients, streamlining administrative tasks and improving patient outcomes.
• • This is an exciting opportunity to be at the forefront of AI/ML innovation within the healthcare technology sector, driving meaningful change and contributing to a healthier future.
• • You will be part of a company that values innovation, collaboration, and a commitment to improving the healthcare ecosystem.
• • The role requires a strong understanding of model lifecycle management, from initial development and testing to deployment, monitoring, and retraining.
• • You will be expected to stay abreast of the latest advancements in machine learning, NLP, and MLOps to ensure Availity remains a leader in its field.
• • The ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders will be highly valued.
• • You will contribute to building scalable, reliable, and maintainable machine learning systems that support Availity's strategic objectives.
• • This role is ideal for an individual who thrives in a remote work environment and is passionate about making a tangible difference in the healthcare industry through technology.