AI scientist & engineer

ADVANCE INTELLIGENCE PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled professional to apply expertise in Generative AI techniques. The role involves solving real-world problems using mathematics and engineering principles, conducting data analysis, and fine-tuning open-source models. Candidates should have strong statistical, machine learning, and software engineering skills, with experience in Docker preferred. This opportunity allows you to engage with innovative technologies in a dynamic environment.

Qualifications

• Experience in fine-tuning open-source models for specific projects.
• Familiarity with agent frameworks.
• Proficiency in traditional machine learning methods like neighborhood, tree-based, kernel methods.
• Understanding of advanced Generative Algorithms such as attention mechanisms, transformers, and diffusion.
• Knowledge of optimization techniques including linear and integer programming.
• Expertise in Markov Decision Problems and reinforcement learning.

Responsibilities

• Solve real-world problems using mathematics and engineering principles.
• Conduct exploratory data analysis to understand data properties.
• Leverage knowledge of statistical concepts and techniques.

Skills

Mathematics

Generative AI techniques

Data analysis

Statistical concepts

Machine learning methods

Optimization techniques

Software engineering

Tools

Docker

Job description

Job description:

• Solve real-world problems using mathematics and engineering principles.
• Apply expertise in various Generative AI techniques, including prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning.
• Conduct exploratory data analysis, utilizing scatterplots, histograms, time plots, and other techniques to understand data properties and handle missing/extreme values.
• Leverage knowledge of statistical concepts and techniques such as t-statistics, p-values, overfitting, and regularization.

Preferred Qualifications:

• Experience in fine-tuning open-source models for specific projects.
• Familiarity with agent frameworks.
• Proficiency in traditional machine learning methods (e.g., neighborhood, tree-based, kernel methods).
• Understanding of advanced Generative Algorithms(e.g., attention mechanisms, transformers, diffusion, perplexity).
• Knowledge of optimization techniques (e.g., linear programming, integer programming).
• Expertise in Markov Decision Problems, reinforcement learning, and recommendation systems (e.g., AUC, mAP@K).
• Software engineering experience, including system design, performance profiling, and deployment using tools like Docker.

Bonus Qualifications:

• Experience building mathematical, statistical, or computational models for real-world applications.