Machine Learning Engineer

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🕒 April 1

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Bask Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🛍️ eCommerce

💰 Pre Seed Round on 2022-05

Healthcare Insurance • SaaS • eCommerce

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

📋 Description

• Become a key player on our team. • Craft sophisticated machine learning models and AI-powered solutions. • Tackle a diverse range of projects. • Work closely with cross-functional teams to seamlessly integrate AI into our products and services.

🎯 Requirements

• 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.