GEN AI ENGINEER FOR DATA & ANALYTICS

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 Role Overview.
We are seeking a highly skilled and experienced Gen AI Engineer with a minimum of 3 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 Gen AI Lead for strategic direction.
Responsibilities.
Technical Responsibilities.
Design, develop, and implement state-of-the-art generative AI models and solutions Develop and implement GenAI solutions, demonstrating experience in either front-end or back-end development to support the integration of AI models into existing systems Develop and deploy AI models and systems using techniques such as Language Models (LLMs) and generative AI.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to identify 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.
Participate in code reviews and contribute to best practices in software development and data governance.
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.
.
is a plus.
Minimum 3 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 TensorFlow 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 DevOps 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 CloudFormation.
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.
Experience with large language models (LLMs) and generative adversarial networks (GANs) in healthcare applications.
Knowledge of ethical considerations in AI and responsible AI practices, particularly in the pharmaceutical industry.
Contributions to open-source projects or publications in relevant fields, especially related to healthcare data analytics 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 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.
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