Speech AI Research Assistant - Data, Models & Web Interface

MCI Career Services; Singapore; On-site; SGD 36,000 - 47,000; Full time

Job summary

MCI Career Services in Singapore is seeking a data-focused researcher to organize speech datasets and build tools for training and inference of speech recognition models. You will develop Python scripts, and create a web interface to access results in real time, with validation in clinical settings.

The role requires collaboration in a multidisciplinary team, strong communication, and interest in healthcare applications. Prior publication experience is a plus.

Qualifications

• Bachelor or Master’s degree in Computer Science or related field.
• Proficient in neural networks frameworks such as PyTorch.
• Good verbal and written communication skills.
• Ability to work collaboratively in a multidisciplinary team environment.
• Prior exposure to or interest in healthcare and clinical applications will be an added advantage.

Responsibilities

• Organize existing relevant speech datasets as well as newly collected speech datasets.
• Write python scripts for data loading, training speech recognition models and inference.
• Develop a web interface for real-time access of the trained model.
• Participate in testing and validation of developed technologies in clinical settings to ensure efficacy and safety.
• Contribute to writing scientific papers, reports and grant proposals.
• Support project team in daily administrative tasks and project management and project management activities.

Skills

Team collaboration

Communication skills

Healthcare domain exposure

Speech/Audio research experience

Education

Bachelor or Master’s degree in Computer Science or related field

Tools

Python

PyTorch

Job description

MCI Career Services in Singapore is seeking a data-focused researcher to organize speech datasets and build tools for training and inference of speech recognition models. You will develop Python scripts, and create a web interface to access results in real time, with validation in clinical settings.

The role requires collaboration in a multidisciplinary team, strong communication, and interest in healthcare applications. Prior publication experience is a plus.