At Takeda we are guided by our purpose of creating better health for people and a brighter future for the world Every corporate function plays a role in making sure we as a Takeda team can discover and deliver life-transforming treatments guided by our commitment to patients our people and the planet People join Takeda because they share in our purpose And they stay because we re committed to an inclusive safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions Job ID R0150071 Date posted 07 07 2025 Location Bengaluru Karnataka I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda sPrivacy Noticeand Terms of Use I further attest that all information I submit in my employment application is true to the best of my knowledge 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 workplace 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 Locations IND - BengaluruWorker Type EmployeeWorker Sub-Type RegularTime Type Full time

📌 Principal Ai/ml Engineer (Karnataka)
🏢 ARIAD
📍 Karnataka