
Senior Machine Learning Engineer
5 days ago
As a seasoned machine learning engineer, you will be responsible for developing and deploying innovative models to automate and optimize revenue cycle management processes. This role involves working with a team to develop customized solutions that integrate into enterprise applications, ensuring high reliability, security, and scalability.
About You:
• You must be passionate about staying up-to-date with the latest advancements in machine learning and have hands-on experience building and evaluating complex models.
• Strong communication skills are essential to work effectively with colleagues from diverse technical and non-technical backgrounds.
• A strong interest in improving healthcare outcomes is crucial.
About the Role:
The athenaCollector product is a key component of the athenaOne platform, processing billions of dollars annually. The Data Science team applies machine learning techniques to address the toughest challenges in revenue cycle management.
Key Responsibilities:
• Identify opportunities to leverage different machine learning techniques and evaluate their effectiveness.
• Collaborate with the team to develop and deploy production-ready services using machine learning algorithms.
• Adhere to established conventions and best practices for modeling, coding, architecture, and statistics.
• Conduct rigorous testing of models and code to ensure accuracy and reliability.
Contribute to the development of internal tools and AI standards.
Typical Qualifications:
• Bachelor's or Master's degree in a relevant field: Mathematics, Computer Science, Data Science, Statistics, or related field.
• 3-5 years of professional experience in developing, evaluating, and deploying machine learning models.
• Proficiency in Python, SQL, Unix.
• Familiarity with natural language processing or computer vision techniques.
Experience with the AWS ecosystem, including Kubernetes, Kubeflow, or EKS, is a plus.
Excellent verbal communication and writing skills.
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