ML Engineer
Posted Apr 29, 2026
As a Machine Learning Engineer specialized in US Pharma Data Analytics, your role involves designing, developing, deploying, and maintaining scalable machine learning solutions for pharmaceutical and healthcare analytics. Your primary focus will be on transforming complex healthcare datasets into reliable ML-driven insights while ensuring robustness, scalability, and regulatory compliance in real-world environments. Key Responsibilities:
- Design, build, and deploy end-to-end machine learning solutions for production environments
- Translate data science prototypes into scalable, efficient, and maintainable ML systems
- Develop and manage large-scale data processing pipelines for structured and unstructured pharma and healthcare data
- Optimize model performance through feature engineering, hyperparameter tuning, and architecture improvements
- Implement robust monitoring frameworks to track model accuracy, drift, performance degradation, and system health
- Ensure high availability, fault tolerance, and scalability of ML systems in production
- Collaborate closely with Data Scientists to operationalize analytical and predictive models
- Work alongside Data Engineers to ensure efficient data ingestion, transformation, and storage pipelines
- Apply industry-standard MLOps practices including CI/CD pipelines, automated testing, model versioning, and reproducible experimentation
- Maintain documentation and ensure compliance with data governance, security, and healthcare regulations