Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
AI Scientist & Engineer
Company Overview:
This company is one of Southeast Asia’s leading technology startups, specializing in financial services. It provides a range of solutions including “buy now, pay later” options, micro-lending, and digital financial services, empowering consumers with flexible access to financial products. Backed by top-tier investors and valued at over USD 2 billion, the company has a strong presence across South and Southeast Asia, Latin America, and Greater China. It serves millions of consumers and thousands of enterprise clients, including major merchants in diverse sectors.
Job Description:
Responsibilities:
- Solve real-world problems using mathematical and engineering principles.
- Apply expertise in Generative AI techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.
- Conduct exploratory data analysis using various techniques like scatterplots, histograms, and time plots to understand data properties and handle missing or extreme values.
- Utilize statistical concepts such as t-statistics, p-values, overfitting, and regularization to inform decision-making.
Requirements:
Preferred Qualifications:
- Experience fine-tuning open-source models for specific projects.
- Familiarity with agent frameworks and traditional machine learning methods (e.g., neighborhood, tree-based, kernel methods).
- Knowledge of advanced Generative Algorithms, including attention mechanisms, transformers, and diffusion models.
- Understanding of optimization techniques like linear programming and integer programming.
- Expertise in Markov Decision Problems, reinforcement learning, and recommendation systems (e.g., AUC, mAP@K).
- Software engineering experience in system design, performance profiling, and deployment using tools like Docker.
Bonus Qualifications:
- Experience building mathematical, statistical, or computational models for real-world applications.
Disclaimer:
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