Delivering Discovery, eClinical, and Imaging Solutions to the Global Biopharmaceutical Industry
Associate Director, AI/ML Engineering, Medical Imaging
Location
New York
Posted
89 days ago
Salary
$125.6K - $233.3K / year
Job Description
Job Requirements
- Proven experience in developing and deploying AI/ML solutions in real-world applications with demonstrable experience of productizing AI/ML models.
- Proven experience in leading and developing AI/ML teams.
- Expertise in Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.
- Strong background in data structures, algorithms, and software engineering principles.
- Strong experience with medical imaging modalities (such as CT, MRI, PET, or SPECT) and DICOM standard.
- Experience with feature stores and ML data pipelines.
- Ph.D. or Master’s degree in a relevant field (such as mathematics, computer science, data science, electrical engineering or biomedical engineering).
- English: Fluent.
Benefits
- Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
- Paid time off policy including holidays and sick time
- Internal growth and development programs & trainings
- 401(k) program, life & accident insurance and disability insurance
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Machine Learning Engineer building AI products for clinical trials
Machine Learning Engineer, Personalization
SpotifySpotify is a Swedish company founded in 2008 that provides music, comedy, podcast, and streaming services. As an employer, Spotify is interested in candidates w
Machine Learning Engineer building AI solutions for Spotify personalization
Founding ML Engineer at Flower Labs building cutting-edge AI models remotely
Principal Decision Scientist – Machine Learning Engineer
Aimpoint DigitalAimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure.
Principal Decision Scientist, Machine Learning Engineer at Aimpoint Digital
