Applied Machine Learning/AI Software Engineer

Sembcorp; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Sembcorp in Singapore is seeking an AI/ML engineer who can bridge ML model development and real-world software applications, owning the process from ideation to deployment.

You will leverage modern ML frameworks to build optimized, scalable code and collaborate with business stakeholders, software and data engineers to deliver AI-powered solutions with high-quality, well-tested software.

Join a dynamic team that emphasizes robust engineering practice and impactful AI across the enterprise.

Qualifications

• 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 time series forecasting, anomaly detection, search and recommendation systems, feedback control, interpretable machine learning or computer vision.

Responsibilities

• Innovate and deploy: bridge the gap between ML model development and real-world software applications from ideation to deployment.
• Optimise and scale: use ML frameworks to create optimized, maintainable code deployable as a product.
• Collaborate: work with stakeholders, software and data engineers, product leads to deliver AI-powered solutions.
• Quality code production: write high-quality, well-tested code following best practices and standards.

Skills

ML & AI fundamentals

Full-stack development

Problem solving

Team collaboration

Education

Bachelor's/Master's in Computer Science, ML, Data Science

Tools

PyTorch

TensorFlow

LangChain

Vector databases

MLflow

Azure ML

Docker

Kubernetes

NodeJS

REST APIs

Job description

Key Roles & Responsibilities

• Innovate and Deploy: Bridge the gap between machine learning (ML) / AI model development and real-world software applications, possessing both ML expertise and full-stack development skills, to work from ideation all the way to deployment.


• 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

Qualifications, Skills & Experience

• 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.

Applied MachineLearning (ML) Skills:

• 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.

Software Engineering+ Cloud Skills:

• 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).

Soft Skills:

• Demonstrated experience in requirement analysis, can transform business problems into ML solutions very


• well, can communicate with bothtechnical and non-technical stakeholders clearly


• Strong communication skills with an ability to explain concepts in simple terms to technical and non-technical audiences