Machine Learning

Sembcorp; Singapore; On-site; SGD 110,000 - 190,000; Full time

Job summary

Sembcorp is seeking a seasoned Applied ML/Software Engineer to bridge the gap between model development and production-grade applications in Singapore. You will own end-to-end delivery from ideation to deployment, building scalable ML-powered features integrated with modern web services.

You'll collaborate with business and engineering teams to translate complex problems into robust, maintainable code, leveraging PyTorch, Azure or similar cloud platforms, and modern DevOps practices to ship

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/recommendation systems, feedback control, interpretable ML or CV.

Responsibilities

• Innovate and Deploy: bridge ML/AI model development with real-world software applications.
• Optimise and Scale: use ML frameworks to create optimized, scalable code for products.
• Collaborate with business and engineering teams to deliver AI-powered solutions.
• Quality code production: write high-quality, well-tested code following best practices.

Skills

Python

NodeJS

PyTorch

TensorFlow

LLMs

Prompt engineering

Data structures

Algorithms

REST APIs

Frontend integration

Langchain

Vector DBs

MLflow

Docker

Kubernetes

Azure

Education

Bachelor's/Master's in Computer Science, ML, Data Science or related field

Tools

Docker

Kubernetes/AKS

Azure ML

MLflow

Langchain

Job description

Key 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

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.

Applied Machine Learning (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 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