ML Engineer

Required Skills & Experience:

• At least 3 to 8 years of 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 As a Machine Learning Engineer - US Pharma Data Analytics, your role involves designing, developing, deploying, and maintaining scalable machine learning solutions for pharmaceutical and healthcare analytics. You will be responsible for transforming complex healthcare datasets into reliable ML-driven insights with a focus on 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

• Continuously evaluate emerging tools, frameworks, and best practices to improve machine learning workflows

Required Skills & Experience:

• At least 3 to 8 years of 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