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Bask Health

Machine Learning Engineer

Reposted 2 Days Ago
Remote
5 Locations
Mid level
Remote
5 Locations
Mid level
The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.
The summary above was generated by AI

Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.


Requirements

We are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI-powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross-functional teams to seamlessly integrate AI into our products and services.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM field.
  • 3+ years of professional experience in machine learning or computer vision.
  • Strong programming skills in Python and experience with TensorFlow (PyTorch a plus).
  • Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
  • Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda.
  • Excellent problem-solving skills and ability to work in a collaborative environment.

Benefits

Bask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

AI
Machine Learning

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