AI Scientist Intern

Hytech; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Hytech in Singapore seeks an AI Scientist Intern to join the Anti-Fraud team. You will work on applied AI and machine learning problems, exploring new techniques, running experiments, and contributing to intelligent systems development.

You will collaborate with researchers and engineers on ML, DL, NLP, and related areas, building prototypes and documenting results while staying current with AI research trends.

Qualifications

• Pursuing a Bachelor's or Master's degree in CS/AI/DS/Engineering or related field.
• Strong Python programming skills and familiarity with ML concepts.
• Experience with ML/DL basics and model evaluation.
• Familiarity with PyTorch, TensorFlow, or scikit-learn.

Responsibilities

• Assist conduct research on AI, ML, DL, and Generative AI technologies.
• Develop, train, and evaluate ML models and AI prototypes.
• Perform data preprocessing, analysis, and experimentation.
• Explore ideas from recent AI research papers and implement them.
• Test models and algorithms to improve performance.
• Collaborate with software engineers to integrate AI solutions.
• Document experiments, results, and findings.
• Stay updated on developments in AI and related tech.

Skills

Python

Analytical thinking

Problem solving

Communication

Teamwork

Curiosity

ML fundamentals

NLP basics

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.

About the Role:

We are looking for a highly motivated AI Scientist Intern to join our Anti-Fraud team. In this role, you will work on applied AI and machine learning problems, explore emerging techniques, conduct experiments, and contribute to the development of intelligent systems. You will have the opportunity to work closely with researchers and engineers on projects involving machine learning, deep learning, generative AI, large language models (LLMs), computer vision, natural language processing (NLP), or related areas.

Key Responsibilities:

• Assist Conduct research on AI, Machine Learning, Deep Learning, and Generative AI technologies.
• Develop, train, and evaluate machine learning models and AI prototypes.
• Perform data preprocessing, analysis, and experimentation.
• Explore and implement ideas from recent AI research papers.
• Test different models, algorithms, and approaches to improve performance.
• Collaborate with software engineers and other team members to integrate AI solutions into applications.
• Document experiments, results, and technical findings.
• Stay updated on the latest developments in AI and emerging technologies.

Requirements:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Basic understanding of Machine Learning and Deep Learning concepts.
• Proficiency in Python.
• Familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Understanding of basic statistics, linear algebra, and algorithms.
• Strong analytical and problem-solving skills.
• Curious, self-motivated, and willing to learn new technologies.
• Good communication and teamwork skills.

What You'll Gain

• Hands-on experience working on real-world AI projects.
• Exposure to the latest AI and Generative AI technologies.
• Opportunity to work closely with experienced AI and software engineers.
• Experience in conducting experiments and applying research ideas to practical applications.
• Potential opportunity to continue with full-time employment based on performance and business needs.