About the role

AI summarised

The Applied AI Specialist role at Sembcorp focuses on bridging AI/ML model development with real-world software deployment. The position requires end-to-end involvement from ideation to production, including optimizing and scaling AI solutions using modern frameworks and cloud platforms. Collaboration with cross-functional teams to deliver AI-powered business solutions is a core aspect of the role.

UtilitiesOnsiteAI & Innovation

Key Responsibilities

Optimise and Scale: Leverage on existing latest ML frameworks and AI models, to create optimized, maintainable and scalable code that can be deployed as/or into a product.
Collaborate: Work closely with business stakeholders, software and data engineers, product leads/managers to understand complex business challenges and deliver AI-powered solutions
Quality code production: Write high-quality, well-tested code following best practices and coding standards

Requirements

Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
3+ years of non-internship professional software development experience.
Practical experience in at least one of the following domains: time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision.
Proficiency in frameworks like PyTorch or Tensorflow
Strong foundation in data structures, algorithms, and software engineering principles.
Experience with LLMs and emerging area of prompt-engineering.
Experience deploying ML workloads on Microsoft Azure, Huawei or similar cloud platforms.
Good to have experience with agents framework such as Langchain, vector DBs.
Familiarity with Azure ML, MLflow, or similar MLOps platforms.
Proficiency in Python; experience with NodeJS is a strong plus.
Familiarity with frontend integration workflows (Angular/React, REST APIs). Frontend coding experience with Angular/React Framework is a plus.
Understanding of containerization and orchestration (Docker, Kubernetes/AKS).
Demonstrated experience in requirement analysis, can transform business problems into ML solutions very well, can communicate with both technical and non-technical stakeholders clearly
Strong communication skills with an ability to explain concepts in simple terms to technical and non-technical audiences