Ascendion
Website:
ascendion.com
Job details:
Role Overview
We are seeking a highly skilled MLOps Engineer - US Pharma Data Analytics to design, develop, deploy, and maintain scalable, production-grade machine learning solutions for pharmaceutical and healthcare analytics. The role focuses 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 that can operate reliably in 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
- Continuously evaluate emerging tools, frameworks, and best practices to improve machine learning workflows
Required Skills & Experience
- At least 3 to 8 years if strong experience in Machine Learning model development and deployment
- Hands-on experience with production ML systems and scalable data pipelines
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Practical exposure to cloud platforms, containerization, and orchestration tools
- Solid understanding of MLOps methodologies, monitoring, and lifecycle management
- Must have Experience in working with US based Pharma data analytics.
Location: Bangalore
Work Mode: Hybrid
Shift Timing: 2 PM to 11 PM IST
Click on Apply to know more.