Avita Care Solutions · 14 hours ago
Machine Learning Engineer
Plano, TX
Full-time
Onsite
Mid Level
$140K/yr - $185K/yr
3+ years expAvita Care Solutions is dedicated to providing compassionate care and promoting health equity. They are seeking a Machine Learning Engineer to design scalable and compliant ML solutions that enhance patient outcomes and optimize pharmacy operations using healthcare and pharmacy data.
HealthcarePharmaceuticalHealth Care
Responsibilities
Design, build, deploy, and maintain production-grade machine learning models and pipelines using healthcare and pharmacy data (claims, EHRs, prescription data, formulary data, etc.)
Develop robust end-to-end ML systems, including data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining
Productionize predictive models related to medication adherence, utilization forecasting, cost optimization, and patient outcomes
Collaborate closely with data scientists, pharmacy experts, clinicians, and engineering teams to translate business and clinical requirements into scalable ML solutions
Implement MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, performance monitoring, and automated retraining
Optimize model performance, reliability, and latency for batch and/or real-time inference use cases
Ensure all ML systems comply with healthcare regulations (e.g., HIPAA) and internal data governance, security, and audit requirements
Contribute to ML architecture decisions, tooling selection, and platform improvements within the Azure ecosystem
Document ML systems and communicate technical designs and tradeoffs clearly to both technical and non-technical stakeholders
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Engineering, or a related field; or equivalent practical experience
3 years + of experience building and deploying machine learning systems, preferably in healthcare or pharmacy domains
Strong proficiency in Python for machine learning and software development
Solid experience with SQL and working with large-scale relational and cloud-based data stores
Hands-on experience implementing and operationalizing machine learning models in production environments
Experience with Azure cloud services for ML workloads
Familiarity with Databricks and distributed data processing frameworks
Experience with ML lifecycle tools for experimentation, deployment, and monitoring
Benefits
Healthcare benefits (medical, dental, vision) for eligible team members and their families, along with additional company paid and voluntary benefit offerings.
Six company paid holidays and three personal floating holidays, paid time off (PTO), paid leaves - two weeks paid parental leave, bereavement, sick leave, time to vote and jury duty, award recognition program, professional learning and development opportunities.
Company paid benefits – basic life and AD&D, Maven and Health Care Advocate Work/Life Balance Program, health/dependent flexible spending.
Voluntary benefits – long and short-term disability, pet insurance, legal, accident, hospital indemnity, critical illness, whole and supplementary life insurance, identity theft protection, 401(K) retirement savings plan with company match.
Company
Avita Care Solutions
Avita is committed to promoting health equities by providing comprehensive, compassionate, and inclusive care.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Christopher Hall
Chief Medical Officer
Recent News
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