Lead Applied ML Engineer, Remote, Technology & Digital, M-F 8:30A to 4:30P

Baptist Health; Miami (FL); Remote; USD 142,000 - 186,000; Full time

Job summary

A leading healthcare organization in Miami seeks a Machine Learning Team Lead to oversee large-scale ML systems development. This role includes training and debugging models while leading data engineering teams, with a strong emphasis on engineering excellence and innovation. Candidates should possess a master's degree and extensive experience in machine learning and software development.

Qualifications

• Minimum 10 years experience in ML and AI.
• Proven leadership in machine learning systems.
• Advanced skills in ML modeling frameworks.

Responsibilities

• Oversee large-scale machine learning systems integration.
• Lead teams in developing tools for ML systems.
• Collaborate with data scientists and analysts.

Skills

Machine Learning

Artificial Intelligence

Software Development

Computer Vision

Natural Language Processing (NLP)

Deep Learning

Reinforcement Learning

Education

Masters Degree in Computer Science/Machine Learning

Tools

Python

AWS Sagemaker

Job description

Baptist Health is the region’s largest not-for-profit healthcare organization, with 12 hospitals, over 28,000 employees, 4,500 physicians and 200 outpatient centers, urgent care facilities and physician practices across Miami-Dade, Monroe, Broward and Palm Beach counties. With internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences, Baptist Health is supported by philanthropy and driven by its faith-based mission of medical excellence. For 25 years, we’ve been named one of Fortune’s 100 Best Companies to Work For, and in the 2024-2025 U.S. News & World Report Best Hospital Rankings, Baptist Health was the most awarded healthcare system in South Florida, earning 45 high-performing honors.

What truly sets us apart is our people. At Baptist Health, we create personal connections with our colleagues that go beyond the workplace, and we form meaningful relationships with patients and their families that extend beyond delivering care. Many of us have walked in our patients’ shoes ourselves and that shared experience fuels out commitment to compassion and quality. Our culture is rooted in purpose, and every team member plays a part in making a positive impact – because 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.

Qualifications:

Degrees:

• Masters.

Additional 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: 10 years

EOE, including disability/vets