AI Engineer (Fullstack)

at  Mediacorp Pte Ltd

Full Time
Manager
Bachelor’s Degree or equivalent | Master’s or equivalent
Singapore |
Closing On 26 Feb 2025
Hybrid

ABOUT US

Mediacorp is Singapore’s largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.
We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

JOB DESCRIPTION

We are seeking a highly skilled and motivated AI Engineer to join our team. This role is ideal for professionals who excel in developing and deploying AI-powered applications, integrating machine learning models into scalable systems, and architecting robust, end-to-end solutions. The successful candidate will work at the intersection of AI/ML development, full-stack engineering, and system architecture, driving innovation and delivering impactful solutions.

QUALIFICATIONS

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• 5+ years of developing end-to-end AI/ML applications.
• Strong programming in at least one of the following languages: Python, Scala, JavaScript.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, OpenAI).
• Expertise in system design and application architecture.
• Familiarity with databases (SQL/NoSQL) and data pipelines.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of DevOps/MLOps practices.
• Experience deploying and managing AI solutions in production environments is preferred.
• Hands-on experience with fine-tuning generative AI models for specific business applications is preferred.
• Knowledge of microservices architecture and serverless computing is preferred.
• Proficiency in front-end frameworks (e.g., React, Angular) and back-end development is preferred.
• Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks is preferred.

Please refer the Job description for details