Data Scientist/AI Engineer Trainee (DS/AIE Trainee)

Program Details:
Research Topics:
Agentic AI Systems & LLM Alignment: Developing autonomous agents by optimizing LLM reasoning and alignment to execute complex, domain-specific tasks and strategic planning.
Decision Intelligence & Personalization: Integrating LLM & Reinforcement Learning with Predictive Modeling to solve complex trade-off problems in next-gen Recommendation Systems.
Computer Vision & Multimodal: Exploring visual understanding and multimodal data integration for practical business use cases.
Work Approach:
Collaborate in teams to conduct research and develop PoC demos.
Receive guidance and mentorship from Data Scientist, Machine Learning Engineer and Product Owners.
Work alongside business departments to apply research findings to high-impact use cases.
Expected Outcomes:
Research findings presented in seminars.
Functional PoC demos based on research results.
Research insights applied to real business challenges in collaboration with business squads.
Enhanced technical skills and a clear path to potential full-time employment
Responsibilities
R&D: Conduct research on advanced AI models and adapt to real-world datasets.
Prototyping: Build and validate PoC demos to test the feasibility of AI applications.
Implementation: Work closely with mentors and teams to implement AI solutions that balance performance and efficiency.
Documentation: Systematize research findings and project developments into professional reports.
Knowledge Sharing: Present research results and insights in internal technical seminars.