Principal AI/ML Engineer

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Job 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

• Bachelors or Master’s or Ph.D. in Computer Science, Software Engineering, Data Science, or related field.

Experience

• At least 6-8 years of experience in machine learning system architecture, deployment, and MLOps, with a significant focus on operationalizing ML at scale.
• Proven track record in designing and advocating ML/AI solutions within enterprise architecture frameworks and council-level decision-making.

Technical Skills

• Proficiency in deploying and managing machine learning pipelines using MLOps tools like MLflow, Airflow, Databricks, or Clear ML.
• Strong programming skills in Python and experience with machine learning libraries such as Scikit-learn, XGBoost, LightGBM, and TensorFlow.
• Deep understanding of CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions) for automated model deployment.
• Familiarity with Databricks tools and services for scalable data workflows and model management.
• Expertise in building robust observability and monitoring systems to track ML systems in production.
• Hands-on experience with classical machine learning techniques, such as random forests, decision trees, SVMs, and clustering methods.
• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation to enable automated deployments.
• Experience in handling regulatory considerations and compliance in healthcare AI/ML implementations (e.g., GxP, GDPR).

Soft Skills

• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills for influencing technical and non-technical stakeholders.
• Leadership ability to mentor teams and drive architecture-standardization initiatives.
• Ability to manage projects independently and advocate for AI/ML adoption across Takeda.

Preferred Qualifications

• Real-world experience operationalizing machine learning for pharmaceutical domains, including drug discovery, patient stratification, and manufacturing process optimization.
• Familiarity with ethical AI principles and frameworks, aligned with FAIR data standards in healthcare.
• Publications or contributions to AI research or MLOps tooling communities.

WHAT TAKEDA ICC INDIA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

• It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms 
• Diversity, Equity, and Inclusion Programs
• No Meeting Days
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days)

​ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid

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