Engineering Manager (AI & Data Engineering)

Location: [Singapore]

About the Role:

The ideal candidate will have expertise in AI/ML development, data processing, and software engineering, ensuring seamless data integration for AI-driven insights. This role does not require direct team management but involves collaborating with cross-functional teams to build high-impact AI applications.

Key Responsibilities:

• Collaborate with the AI Product Lead to define and drive the technical roadmap for AI and data-driven products.
• Architect and develop AI solutions for both in-house applications and consulting engagements.
• Design and implement data pipelines and ETL workflows to process unstructured data (PDFs, Word, Excel) into structured formats for analysis and AI models.
• Create and maintain APIs to integrate structured data with AI, visualization, and reporting systems.
• Optimize system architecture to ensure scalability, reliability, and security of AI-driven applications.
• Ensure best practices in software development, including CI/CD, testing, and code quality.
• Collaborate with data scientists, cloud engineers, and software developers to align data engineering outputs with AI/ML requirements.
• Develop and manage data storage solutions for real-time and retrospective analysis.
• Establish mechanisms for validating, monitoring, and ensuring data accuracy within AI-driven pipelines.
• Stay up to date with advancements in AI, ML, and data engineering trends.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 8+ years of experience in AI/ML, software development, and/or data engineering, with at least 3 years in an architecture-focused role.
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and data pipeline frameworks (Apache Airflow).
• Proficiency in Python, SQL, and data processing libraries (Pandas, OpenPyXL, PyPDF).
• Experience with cloud platforms (AWS, Azure, GCP) and deploying AI models in production.
• Strong understanding of database design, including relational and non-relational databases.
• Experience integrating unstructured document data into structured databases for AI applications.
• Deep understanding of software architecture, microservices, and DevOps practices.
• Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Excellent communication and collaboration skills.

Nice to Have:

• Experience with MLOps and AI model lifecycle management.
• Knowledge of regulatory and ethical considerations in AI development.
• Experience with construction or real estate performance metrics (if applicable).
• Contributions to open-source AI/ML or data engineering projects.

• Work on cutting-edge AI and data-driven solutions with a strong impact.
• Be part of a collaborative and high-performing team.
• Opportunities for career growth.

If you’re passionate about AI solution architecture, data engineering, and innovative applications, we’d love to hear from you! Apply now!