By clicking the Apply button 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 s and 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 Role Overview We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 4 years of experience in Data Science and Machine Learning The ideal candidate will have expertise in NLP Generative AI LLMs MLOps optimization techniques and AI solution architecture In your role you will be pivotal in developing and implementing cutting-edge AI solutions leveraging your technical expertise to drive innovation in Takeda s business strategy and establish conclusions that help the business to reach patients more effectively In this role you will be a part of the PDT Data Analytics team This team drives business insights through IT data analytics techniques such as pattern recognition AI ML and data modelling to analyze and interpret the organization s data with the purpose of drawing conclusions about information and trends This role will align to the Cloud Custom Development chapter of the ICC This position will report to the Data Science Lead for strategic direction Responsibilities Technical Responsibilities Design and implement state-of-the-art AI solutions Develop and deploy AI models and systems using techniques such as Language Models LLMs and generative AI Collaborate with stakeholders to identify business opportunities and define AI project goals Work with business stakeholders and the BI lead to understand the impact and the process of AI solutions Stay updated with the latest advancements in generative AI techniques and evaluate their potential applications Integrate with APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers to enhance generative AI capabilities Implement and optimize end-to-end pipelines for generative AI projects ensuring seamless data processing and model deployment Utilize vector databases and NoSQL databases to handle large-scale generative AI datasets and outputs Implement similarity search algorithms including RAG for efficient retrieval of relevant information from generative AI outputs Conduct research on advanced AI techniques including transfer learning domain adaptation and model compression Establish evaluation metrics to assess the quality and relevance of generative AI outputs Ensure compliance with data privacy security ethical considerations and Responsible Use of Ai in all AI applications Leverage data engineering skills to curate clean and preprocess large-scale datasets for generative AI applications Requirements Bachelor s or Master s degree in Computer Science Engineering or a related field A Ph D is a plus Minimum 4 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning deep learning and generative AI techniques including Azure Open AI AWS Bedrock etc Proficiency in programming languages such as Python and R and frameworks like Tensor Flow or PyTorch Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models Familiarity with computer vision techniques for image recognition object detection or image generation Experience with cloud platforms such as Azure AWS or GCP and deploying AI solutions in a cloud environment Expertise in data engineering including data curation cleaning and preprocessing Knowledge of trusted AI practices ensuring fairness transparency and accountability in AI models and systems Strong collaboration skills with software engineering and operations teams for seamless AI model integration and deployment Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels Understanding of data privacy security and ethical considerations in AI applications Track record of driving innovation and staying updated with the latest AI research and advancements Preferred Skills Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems Drive Dev Ops and MLOps practices covering continuous integration deployment and monitoring of AI models Implement CI CD pipelines for streamlined model deployment and scaling processes Apply infrastructure as code IaC principles employing tools like Terraform or Cloud Formation Implement monitoring and logging tools to ensure AI model performance and reliability Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment 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 Adaptable work environment including hybrid working Comprehensive Healthcare Insurance Plans for self spouse and children Group Term Life Insurance and Group Accident Insurance programs Employee Assistance Program Broad Variety of learning platforms Diversity Equity and Inclusion Programs Reimbursements

- Home Internet Mobile Phone Employee Referral Program Leaves
- Paternity Leave 4 Weeks Maternity Leave up to 26 weeks Bereavement Leave 5 calendar 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
- Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time

📌 Gen Ai Engineer For Data & Analytics (Bengaluru)
🏢 Takeda
📍 Bengaluru