Principal AI / ML Engineer

Description

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda’s ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

About the Role

We are seeking an innovative and skilled Principal AI / ML Engineer with a strong focus on designing and deploying scalable machine learning solutions. This role requires a strategic thinker who can architect production-ready solutions, collaborate closely with cross-functional teams, and ensure adherence to Takeda’s technical standards through participation in the Architecture Council. The ideal candidate has extensive experience in operationalizing ML models, MLOps workflows, and building systems aligned with healthcare standards. By leveraging cutting-edge machine learning and engineering principles, this role supports Takeda’s global mission of delivering transformative therapies to patients worldwide.

How You Will Contribute

• Architect scalable and secure machine learning systems that integrate with Takeda’s enterprise platforms, including R&D, manufacturing, and clinical trial operations.
• Design and implement pipelines for model deployment, monitoring, and retraining using advanced MLOps tools such as MLflow, Airflow, and Databricks.
• Operationalize AI / ML models for production environments, ensuring efficient CI / CD workflows and reproducibility.
• Collaborate with Takeda’s Architecture Council to propose and refine AI / ML system designs, balancing technical excellence with strategic alignment.
• Implement monitoring systems to track model performance (accuracy, latency, drift) in a production setting, using tools such as Prometheus or Grafana.
• Ensure compliance with industry regulations (e.g., GxP, GDPR) and Takeda’s ethical AI standards in system deployment.
• Identify use cases where machine learning can deliver business value, and propose enterprise-level solutions aligned to strategic goals.
• Work with Databricks tools and platforms for model management and data workflows, optimizing solutions for scalability.
• Manage and document the lifecycle of deployed ML systems, including versioning, updates, and data flow architecture.
• Drive adoption of standardized architecture and MLOps frameworks across disparate teams within Takeda.

Skills and Qualifications

Education

Experience

Technical Skills

Soft Skills

Preferred Qualifications

WHAT TAKEDA ICC INDIA CAN OFFER YOU :

BENEFITS :

ABOUT ICC IN TAKEDA :

Li-Hybrid

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time