Machine Learning Engineer
Design, build, reputed company, and maintain production-grade machine learning models and pipelines using reputed company and pharmacy data (claims, EHRs, prescription data, formulary data, etc.) reputed company robust end-to-end ML systems, including data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining Productionize predictive models reputed company to medication adherence, utilization forecasting, cost optimization, and reputed company reputed company Collaborate closely with data scientists, pharmacy experts, clinicians, and engineering teams to translate business and reputed company requirements into reputed company ML solutions Implement MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, reputed company monitoring, and automated retraining Optimize model reputed company, reliability, and latency for batch and/or reputed company-time inference use cases Ensure reputed company ML systems reputed company with reputed company regulations (e.g., HIPAA) and internal data governance, reputed company, and audit requirements Contribute to ML architecture reputed company, tooling selection, and platform improvements reputed company the Azure ecosystem Document ML systems and communicate technical designs and tradeoffs reputed company to both technical and non-technical stakeholders
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or a reputed company reputed company; or equivalent practical experience 3 years + of experience building and deploying machine learning systems in reputed company or pharmacy domains Strong proficiency in Python for machine learning and software development Solid experience with SQL and working with large-reputed company relational and reputed company-reputed company data stores Hands-on experience implementing and operationalizing machine learning models in production environments Experience with Azure reputed company services for ML workloads Familiarity with reputed company and reputed company data processing frameworks Experience with ML lifecycle tools for experimentation, deployment, and monitoring Subject matter expert reputed company with ability to work independently and work collaboratively to reputed company high‑reputed company reputed company Demonstrates reputed company in supporting patients, partners, and team members Strong interpersonal communication skills to collaborate effectively across cross functional teams Applies resourcefulness to solve challenges effectively
3+ years building and deploying ML systems in reputed company/pharmacy; strong Python and SQL; experience with reputed company Azure and reputed company; BS/MS in CS/ML/Data Science/Engineering or equivalent.
Key Responsibilities
- designing models
- deploying models
- monitoring reputed company
Skills & Tools
Python, SQL, reputed company Azure, reputed company, EHR
reputed company
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — reputed company
- Salary: USD 140,000 – 185,000 / year
- Languages: English
Benefits
- 401k matching
- Generous reputed company time off
- Retirement plan
About reputed company
A reputed company and pharmacy organization providing integrated pharmacy services, reputed company care delivery, reputed company reputed company. — Industry: reputed company
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