Power Programmer - Principal Technologist (EV-Q2-FY-26)

Job Description

Job Description: Strategic Technology Group is a core team within Infosys supported by Power Programmers who are tech polyglots Our team of Power Programmers works on complex projects and builds solutions to solve some of the world s most challenging business problems Introduction We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Why Join Us Work with an innovative team on cutting edge projects that are pushing the boundaries of artificial intelligence Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI Competitive compensation and benefits package Bangalore preferred Flexible work environment with remote work options available Key Responsibilities: Design develop and train transformer based models for multiple modality to support a variety of AI powered applications Experiment with various architectures training techniques and optimization methods to improve the model s understanding and generative capabilities Innovate robust and scalable architectures to accommodate the future requirements Troubleshoot and debug model issues ensuring the models remain robust and adaptable Technical Requirements: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team As an Researcher you will work on architecting building refining and optimizing state of the art Models that drive cutting edge multi modal multi domain understanding and generation capabilities If you have experience building LLM SLM Multimodal models we would love to hear from you Additional Responsibilities: Master s degree or PhD in Computer Science Artificial Intelligence Machine Learning or related fields Ph D preferred Proven experience in training models both text and multi modal models Strong knowledge of transformer architectures and their underlying principles Experience with model pre training finetuning and distributed training One or more scientific publication submissions for conferences journals or public repositories e g ICML ICLR NeurIPS Preferred Skills: Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai