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Lead Machine Learning Engineer, PennDnA ML, AI ๐Ÿ†

Penn Medicine

Philadelphia ยท On-site Full-time Lead $67k โ€“ $107k/yr Yesterday

About the role

Lead Machine Learning Engineer, PennDnA ๐Ÿ’ฐ Salary: $67,000 - 107,000 per year

At Penn Medicine we are looking for a ML, AI engineer!

๐Ÿ› ๏ธ Our tech stack: Flow, Machine Learning, Machine-Learning

๐Ÿ“ Rquirements: - Bachelors Degree in Computer Science or a related field focused on machine learning or data science - Over 5 years of experience in machine learning engineering with a strong history of developing and implementing machine learning solutions in healthcare or similar industries - Proven ability to independently manage projects from inception to completion while collaborating with cross-functional teams - Masters degree is preferred

๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป Your responsibilities are: - Lead the design of technical solutions, focusing on innovative machine learning algorithms and methodologies - Utilize open-source tools and frameworks to create machine learning systems and software applications - Design and implement scalable, modular software architectures to enhance maintainability - Develop integrations with health system tools to deploy machine learning models - Monitor and maintain operational integrity and performance of deployed ML systems - Collaborate with a diverse team including data scientists, clinicians, and administrators to fulfill project requirements - Design and build machine learning models and simulations for diverse healthcare applications - Work with data scientists to construct reliable data pipelines for seamless data flow - Create and enhance monitoring tools for ML applications to ensure compliance and performance - Maintain and optimize production models while ensuring adherence to quality and ethical standards - Commit to continuous learning and seek opportunities to improve team processes and standards

View this job and over 500 other transparent jobs with salaries (๐Ÿ’ฐ๐Ÿ’ฐ๐Ÿ’ฐ) & tech stacks (๐Ÿ› ๏ธ) on DevITJobs

Category: ML, AI Developer / Engineer Location address: Spruce Street 3400, Philadelphia, United States

Salary: $67,000 - 107,000 per year

Benefits & perks that we offer:

Penn Medicine - More about us and the role: At Penn Medicine, we are committed to our mission of providing top-tier patient care, advancing innovative research, and educating future leaders in medicine. Our employees play a crucial role in shaping our future each day, working alongside esteemed professionals across various fields. We believe in fostering a supportive environment for our team, offering an exceptional compensation and benefits package, which includes one of the best prepaid tuition assistance programs in the region. Located in Philadelphia, we are dedicated to making significant medical advances for healthier, longer lives.

Are you looking for ML, AI jobs in Philadelphia?

Requirements

  • Bachelors Degree in Computer Science or a related field focused on machine learning or data science
  • Over 5 years of experience in machine learning engineering with a strong history of developing and implementing machine learning solutions in healthcare or similar industries
  • Proven ability to independently manage projects from inception to completion while collaborating with cross-functional teams

Responsibilities

  • Lead the design of technical solutions, focusing on innovative machine learning algorithms and methodologies
  • Utilize open-source tools and frameworks to create machine learning systems and software applications
  • Design and implement scalable, modular software architectures to enhance maintainability
  • Develop integrations with health system tools to deploy machine learning models
  • Monitor and maintain operational integrity and performance of deployed ML systems
  • Collaborate with a diverse team including data scientists, clinicians, and administrators to fulfill project requirements
  • Design and build machine learning models and simulations for diverse healthcare applications
  • Work with data scientists to construct reliable data pipelines for seamless data flow
  • Create and enhance monitoring tools for ML applications to ensure compliance and performance
  • Maintain and optimize production models while ensuring adherence to quality and ethical standards
  • Commit to continuous learning and seek opportunities to improve team processes and standards

Benefits

health_insurance

Skills

Machine LearningAIFlow

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