AI Engineer Intern

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD. seeks an AI/ML internship candidate currently pursuing a degree in CS or engineering.

You will collaborate with AI engineers to design models, collect and preprocess data, and experiment with algorithms to improve performance. You will document specifications and participate in team knowledge-sharing sessions. The role emphasizes hands-on learning, data-driven evaluation, and proactive contribution within a collaborative team environment in

Qualifications

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field.
• Strong foundation in machine learning, deep learning, and AI concepts.
• Practical experience with Python and C++, and familiarity with TensorFlow/PyTorch.
• Excellent problem-solving skills and ability to think critically about complex technical challenges.
• Effective communication skills and a collaborative team mindset.
• Previous coursework, projects, or internships related to AI/ML/data science is a plus.
• A strong portfolio showcasing personal or academic 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 to ensure high-quality datasets for training and validation.
• Assist in the experimentation and evaluation of various machine learning algorithms to achieve optimal performance metrics.
• Collaborate with the team to document technical specifications, user guides, and best practices for AI development and deployment.
• Participate in team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning and improvement.
• Assist in troubleshooting and debugging AI-related issues in collaboration with the broader engineering team.
• Embrace a proactive and flexible approach, taking on additional tasks and responsibilities as needed to support the team and meet project goals.

Skills

Python

C++

TensorFlow

PyTorch

ML concepts

Data preprocessing

Git

Education

Bachelor/Master/PhD student in CS/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Responsibilities:

• Collaborate with AI engineers and data scientists to design, develop, and implement AI models and algorithms.
• Participate in data collection, preprocessing, and augmentation to ensure high-quality datasets for training and validation.
• Assist in the experimentation and evaluation of various machine learning algorithms to achieve optimal performance metrics.
• Collaborate with the team to document technical specifications, user guides, and best practices for AI development and deployment.
• Participate in team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning and improvement.
• Assist in troubleshooting and debugging AI-related issues in collaboration with the broader engineering team.
• Embrace a proactive and flexible approach, taking on additional tasks and responsibilities as needed to support the team and meet project goals.

Qualification/Requirements:

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field.
• Strong foundation in machine learning, deep learning, and AI concepts.
• Practical experience with programming languages such as Python and C++, and familiarity with popular libraries (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and the ability to think critically about complex technical challenges.
• Effective communication skills, both written and verbal, with the ability to work well in a team environment.
• Passion for AI and a demonstrated willingness to learn and explore new technologies.
• Previous coursework, projects, or internships related to AI, machine learning, or data science is a plus.
• A strong portfolio showcasing personal or academic AI projects is highly desirable.