Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 3 years of experience in DevOps or a similar role, with a strong understanding of cloud technologies, particularly AWS or Google Cloud. Experience with containerization technologies like Docker and Kubernetes is essential, along with familiarity with CI/CD pipelines and infrastructure-as-code tools. Strong programming skills in Python or Go are required, and experience with machine learning operations principles and tools is highly desirable.
The Machine Learning Ops Engineer will design and develop machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences, and will build internal products and platforms to support data integration, event processing, and platform extensions. They will also consult with teams to help them understand common patterns and tradeoffs of machine learning, guide them through creating excellent customer experiences, and contribute to the continued evolution of product functionality that services large amounts of data and traffic.
Patient communication solutions for healthcare providers
Weave provides patient communication solutions tailored for dental and optometry practices. Its platform includes tools for scheduling appointments, sending reminders, managing patient reviews, and enabling two-way texting and calling. This helps healthcare providers interact with patients more effectively and manage their daily tasks. Weave also offers features like virtual waiting rooms and remote communication options, which are especially useful during the COVID-19 pandemic. The company operates on a subscription-based model, allowing clients to pay a recurring fee for access to its services, which vary based on practice size and needed features. By focusing on improving operational efficiency and patient satisfaction, Weave distinguishes itself from competitors in the healthcare technology market.