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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Avita Care Solutions - **Location:** Plano, TX, United States (Remote available) - **Experience:** Experienced - **Salary:** $140,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Cloud Computing, Cloud Database, Cyber Security, Continuous Delivery, Continuous Integration, Data Governance, Data Security, Distributed Computing Environment, EHealth, Python (Programming Language), Machine Learning, Performance Tuning, Information Technology Security Auditing, Software Engineering, SQL Databases, Data Processing, Scripting, Feature Engineering, Data Ingestion, Model Validation, Electronic Medical Records, Information Technology, Performance Monitor, Machine Learning Operations, Software Version Control, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-plano-tx--290eb95b-3208-4aa5-813c-c79b4c20880e ## About the Role * 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 in healthcare or pharmacy domains required * 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 * Subject matter expert mindset with ability to work independently and work collaboratively to achieve high-quality outcomes * Demonstrates compassion in supporting patients, partners, and team members * Strong interpersonal communication skills to collaborate effectively across cross functional teams * Applies resourcefulness to solve challenges effectively At Avita Care Solutions, compassionate care is at the heart of everything we do. Join Avita and get inspired to be the care that unlocks the full potential of health for all. We're committed to promoting health equity by providing comprehensive, integrated access to pharmacy services, clinical care delivery and digital health through our individualized and culturally competent LGBTQ+, HIV, PrEP, and sexual wellness care. Avita is a proud member of the U.S. Business Action to End HIV and has been recognized multiple times by the Human Rights Campaign Foundation as a Best Place to Work for LGBTQ+ Equality., Best Practices, Campaigns, Clinical Medicine, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cost Forecasting, Cross-Functional, Data Processing, Data Science, Diversity, Ecosystems, Formulary, HIPAA (Health Insurance Portability and Accountability Act), HIV/AIDS (Acquired Immune Deficiency Syndrome), Healthcare, Information/Data Security (InfoSec), Interpersonal Skills, Machine Learning, Machine Tool, Medical Record System, Medications, Microsoft Windows Azure, Model Validation, Patient Care, Performance Analysis, Performance Modeling, Performance Tuning/Optimization, Pharmacy, Predictive Modeling, Prescription Drugs, Production Machining, Production Systems, Python Programming/Scripting Language, Regulations, SQL (Structured Query Language), Security Auditing, Software Development, Team Player, Technical/Engineering Design, Use Cases ## Description * 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 ## Related Videos - [JavaScript? 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