Applied ML Engineer - Lead, Technology & Digital, FT, 9A-5:30P

Baptist Health South Florida is the region’s largest not-for-profit healthcare organization with 12 hospitals, more than 27,000 employees, 4,000 physicians, and 200 outpatient centers, urgent care facilities, and physician practices spanning across Miami-Dade, Monroe, Broward, and Palm Beach counties. Baptist Health has internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences. Baptist Health is supported by philanthropy and committed to its faith-based charitable mission of medical excellence.Our mission, vision, and values make us who we are at Baptist Health and are at the center of everything we do. At Baptist Health, we positively impact the human experience for patients, employees, and physicians. Our success comes from a culture of quality and dedication that is instilled into every member of the Baptist Health family.This year, and for 24 years, we’ve been named one of Fortune’s 100 Best Companies to Work For, based on employee feedback. We’ve also been recognized as one of America’s Most Innovative Companies and People Magazine included us in 50 Companies That Care. Based on the U.S. News & World Report 2023-2024 Best Hospital Rankings, Baptist Health is the most awarded healthcare system in South Florida, with its hospitals and institutes earning 45 high-performing honors.But really, the reason we’re excited to come to work is the people.Working together, we form personal connections with our colleagues that are stronger than most of us have experienced at other jobs. We develop caring relationships with our patients and their families that go beyond just delivering healthcare. After all, we know what it’s like to be in their shoes. Many of us have been patients here and have had family members as patients here. We’re committed to delivering quality care in the most compassionate way possible because we feel a personal stake in the outcomes. When it comes to caring for people, we’re all in.Description:Oversee the building and integration of end to end lifecycles of large-scale, distributed machine learning systems using the latest public cloud & open source technologies. Train, evaluate, and debug machine learning models for complex tasks. Lead the team in the development of tools and services for improving ML systems reliability & accuracy beyond modeling choices — model ops. Lead the teams of data engineers to solve complex data problems at scale. Lead technical projects to completion. Collaborate with Data scientists & analysts. Contribute to a team culture that values engineering excellence, continuous improvement and innovation. Estimated salary range for this position is $142599.25 - $185379.03 / year depending on experience.#LI-POSTQualifications:Degrees:MastersAdditional Qualifications:Masters degree in Computer Science/Machine Learning or a minimum of 10 years equivalent professional experience. Proven team leadership background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems. Strong proficiency in ML modeling frameworks. Strong expertise in overall software development approach. Significant leadership experience in building end to end data systems. Advanced software engineering skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions. Proficiency in one or multiple machine learning languages (ex: Python) & development environments such as AWS Sagemaker.Minimum Required Experience:EOE