AI Engineering Intern: Build and Benchmark Real Models

Black Sesame Technologies (Singapore) Pte Ltd; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Black Sesame Technologies (Singapore) Pte Ltd is offering an internship for students in AI/ML, collaborating with AI engineers to build and optimize models. You will help collect data, preprocess datasets, and assist in evaluating diverse ML algorithms to reach strong performance metrics.

The role emphasizes documentation, knowledge sharing, and proactive learning within a collaborative engineering team. Strong foundations in ML, Python/C++, and AI are essential.

Qualifications

• Pursuing a degree in CS/Engineering (Bachelor/Master/PhD).
• Strong foundation in ML/AI concepts and deep learning.
• Experience with Python, C++, and ML libraries (TensorFlow, PyTorch).
• Good problem-solving and critical thinking for complex technical challenges.
• Clear written and verbal communication; ability to work in a team.
• Portfolio of AI projects is highly desirable.

Responsibilities

• Collaborate with AI engineers and data scientists to design, develop, and implement AI models and algorithms.
• Participate in data collection, preprocessing, and augmentation for training/validation datasets.
• Assist in experimentation and evaluation of ML algorithms to optimize performance.
• Document technical specifications, user guides, and best practices for AI development and deployment.
• Join team meetings and knowledge-sharing to foster continuous learning.

Skills

Machine learning

Deep learning

AI concepts

Problem-solving

Communication

Teamwork

Portfolio

Internship mindset

Education

Bachelor's/Master's/PhD student in CS/Engineering

Tools

Python

C++

TensorFlow

PyTorch

Job description

Black Sesame Technologies (Singapore) Pte Ltd is offering an internship for students in AI/ML, collaborating with AI engineers to build and optimize models. You will help collect data, preprocess datasets, and assist in evaluating diverse ML algorithms to reach strong performance metrics.

The role emphasizes documentation, knowledge sharing, and proactive learning within a collaborative engineering team. Strong foundations in ML, Python/C++, and AI are essential.