Home Jobs AI Engineer (Fullstack)
Back to Jobs

AI Engineer (Fullstack) - Job Opportunity at Mediacorp Pte. Ltd.

Singapore, Singapore
Full-time
Senior
Posted: May 28, 2025
On-site
SGD 120,000 - SGD 180,000 per year, considering the senior-level requirements, full-stack capabilities, and Singapore's competitive AI talent market in the media industry

Benefits

Inclusive and diverse workplace culture that promotes talent development and professional growth
Merit-based hiring process ensuring fair and competitive selection
Accommodation support for employees with disabilities or special needs
Opportunity to work with Singapore's largest content creator and national media network
Access to cutting-edge AI/ML technologies and generative AI research tools

Key Responsibilities

Lead the design, development, and deployment of generative AI and machine learning models including LLM, text-to-speech, and image generation systems that directly impact content creation capabilities
Drive data preprocessing, feature engineering, and model optimization initiatives that enhance the performance and accuracy of AI-powered applications
Architect and implement scalable AI/ML frameworks using TensorFlow, PyTorch, or Scikit-learn to support enterprise-level media production workflows
Develop robust APIs that enable seamless integration of AI models into production applications, facilitating cross-platform content delivery
Spearhead the adoption of cutting-edge generative AI research and tools to maintain technological leadership in the media industry
Execute comprehensive deployment strategies using modern DevOps and MLOps practices to ensure reliable and scalable AI model delivery
Lead containerization and orchestration efforts using Docker and Kubernetes to optimize deployment efficiency and system reliability
Design and implement CI/CD pipelines that streamline code and model delivery processes, reducing time-to-market for AI-powered features
Monitor and optimize application performance to ensure high availability and optimal user experience in production environments
Architect scalable, modular, and efficient application systems that seamlessly integrate AI/ML models into existing media production workflows
Design comprehensive end-to-end pipelines for data ingestion, processing, model serving, and monitoring that support large-scale content operations
Ensure system designs adhere to industry best practices for security, compliance, and reliability in media and content creation environments
Provide technical leadership and strategic guidance to cross-functional teams including data scientists, software engineers, and product teams
Mentor and develop junior team members, fostering a culture of innovation and technical excellence
Collaborate with stakeholders to identify and capitalize on opportunities for AI-driven solutions that enhance content creation and audience engagement

Requirements

Education

Bachelor's or master's degree in computer science, Engineering, or a related field

Experience

5+ years of developing end-to-end AI/ML applications

Required Skills

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 Hands-on experience with fine-tuning generative AI models for specific business applications Knowledge of microservices architecture and serverless computing Proficiency in front-end frameworks (e.g., React, Angular) and back-end development Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The media and entertainment industry is experiencing a fundamental transformation driven by generative AI technologies, with companies increasingly adopting AI-powered content creation tools to enhance production efficiency and create personalized audience experiences. This shift is particularly pronounced in Asian markets where digital content consumption is rapidly expanding. There is a growing convergence between traditional media companies and technology platforms, requiring professionals who can bridge the gap between AI/ML development and media production workflows. This trend is creating new opportunities for full-stack AI engineers who understand both technical implementation and creative content processes. The demand for real-time content personalization and automated content generation is driving significant investment in AI infrastructure within media organizations, particularly for applications involving text-to-speech, image generation, and large language models for content optimization and audience engagement.

Role Significance

Likely leading a team of 5-8 technical professionals including junior AI engineers, data scientists, and software developers, while also collaborating across multiple departments including product, content creation, and technical operations teams within the broader media organization.
This is a senior-level position requiring significant technical leadership and strategic thinking, as evidenced by the expectation to provide mentorship, collaborate with stakeholders, and architect enterprise-level systems. The role combines hands-on technical expertise with leadership responsibilities, positioning the incumbent as a key technical decision-maker.

Key Projects

Development and deployment of AI-powered content creation tools that automate video editing, audio processing, and content personalization for multiple media channels Implementation of large-scale machine learning pipelines for audience analytics and content recommendation systems across TV, radio, and digital platforms Architecture and deployment of real-time AI systems for live broadcast enhancement, automated captioning, and multilingual content adaptation for Singapore's diverse audience base

Success Factors

Ability to translate complex AI/ML concepts into practical solutions that directly enhance content creation workflows and audience engagement metrics, requiring both technical depth and creative industry understanding. Strong project management and cross-functional collaboration skills to coordinate between technical teams, content creators, and business stakeholders while maintaining focus on both innovation and operational reliability. Continuous learning mindset and adaptability to rapidly evolving AI technologies, particularly in generative AI and large language models, while maintaining a practical focus on production-ready implementations. Leadership capabilities to mentor junior team members and drive technical decision-making that aligns with both immediate operational needs and long-term strategic technology roadmap for the media organization.

Market Demand

High demand due to the critical intersection of AI expertise and media industry knowledge, with limited supply of professionals who possess both deep technical AI/ML skills and understanding of content creation workflows

Important Skills

Critical Skills

Proficiency in generative AI frameworks and large language models is absolutely essential as the media industry increasingly relies on AI-powered content creation tools for efficiency and personalization. The ability to fine-tune and deploy these models for specific media applications directly impacts the organization's competitive advantage and operational effectiveness. Full-stack development capabilities combining both front-end and back-end expertise are crucial for creating comprehensive AI-powered media applications that serve both content creators and end-users. This versatility is particularly valuable in media environments where user experience and content management interfaces are equally important. MLOps and production deployment experience is critical for ensuring that AI models can operate reliably at scale in live media production environments where downtime or performance issues directly impact audience experience and revenue generation.

Beneficial Skills

Understanding of media production workflows and content creation processes would significantly enhance the ability to design AI solutions that truly integrate with existing operational procedures rather than requiring disruptive workflow changes. Experience with real-time processing and low-latency systems would be valuable for live broadcast applications and interactive media experiences that are increasingly important in modern media consumption patterns. Knowledge of regulatory compliance and content governance frameworks would be beneficial given the public service mandate and regulatory environment in which national media organizations operate.

Unique Aspects

Opportunity to work at the intersection of national media infrastructure and cutting-edge AI technology, providing unique experience in deploying AI solutions that directly impact cultural content creation and public media consumption patterns
Access to diverse content creation workflows across multiple media formats (TV, radio, digital) enabling comprehensive understanding of AI applications across the entire media production spectrum
Position within Singapore's technology ecosystem provides exposure to government technology initiatives and regional media industry development, offering valuable experience in both commercial and public sector AI implementation

Career Growth

3-5 years to progress to senior leadership roles, given the strategic nature of the current position and the rapid growth of AI applications in media industry

Potential Next Roles

Lead AI Architect or Principal AI Engineer focusing on enterprise-wide AI strategy and technology roadmap development Head of AI/ML Engineering or Director of Technology Innovation leading larger technical teams and driving organizational AI transformation Chief Technology Officer or VP of Engineering roles within media companies or technology startups focused on content creation and digital media platforms

Company Overview

Mediacorp Pte. Ltd.

Mediacorp is Singapore's national media company and the largest content creator in the region, operating across multiple platforms including television, radio, and digital media. As a government-linked company, it plays a crucial role in Singapore's media landscape and cultural content development, serving as both a commercial enterprise and a national institution for content creation and distribution.

Dominant market position in Singapore with significant regional influence, representing a stable and well-resourced organization that provides excellent platform for implementing large-scale AI initiatives with substantial impact on national media infrastructure and audience reach.
This role offers unique exposure to Southeast Asian markets and multicultural content creation challenges, providing valuable experience in developing AI solutions for diverse linguistic and cultural contexts that are increasingly important in the global media industry.
Professional environment that balances creative content production with technical innovation, emphasizing both artistic excellence and technological advancement. The organization's commitment to diversity and inclusion, combined with its national media mandate, creates a mission-driven culture focused on public service and cultural impact.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.