Machine Learning Engineer

ALSTOM Gruppe; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading mobility solutions company in Singapore seeks a Machine Learning Engineer to design, deploy, and maintain advanced AI/ML software modules. Responsibilities include developing AI/ML pipelines, managing data solutions, and creating analytical dashboards. The ideal candidate should have a Master's or Ph.D. in relevant fields, proven experience in AI/ML at scale, and strong technical skills in Python and cloud platforms. Join us to drive smarter and sustainable mobility solutions.

Qualifications

• Proven experience in designing and deploying AI/ML solutions at scale.
• Strong background in data engineering and pipeline development.
• Hands-on experience with cloud platforms and on-prem solutions.
• Strong problem-solving and analytical mindset.
• Ability to work collaboratively in cross-functional teams.
• Excellent communication and documentation skills.

Responsibilities

• Design and implement large-scale AI/ML pipelines.
• Lead the full end-to-end ML lifecycle: model development to optimization.
• Define and sustain data solutions for industrial-grade applications.
• Develop customizable analytical dashboards for stakeholders.
• Stay updated on emerging technologies and evaluate opportunities.

Skills

Proficiency in Python

SQL databases

NoSQL databases

Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Data streaming tools (Kafka, Spark)

Containerization (Docker, Kubernetes)

CI/CD and MLOps practices

Education

Master’s or Ph.D. in Computer Science, Data Engineering, Machine Learning

Tools

AWS

Azure

GCP

Microsoft solutions

Databricks

Job description

Machine Learning Engineer

Date: 6 Jan 2026

Company: Alstom

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Mission

Contribute to Alstom’s Data Science and AI programs by developing, testing, validating, and industrializing data-driven solutions in the mobility domain. The primary goal is to design, deploy, and maintain AI/ML software modules that enhance customer performance and experience through advanced analytics, simulations, and domain expertise.

Key Responsibilities

Architect and Develop AI/ML Pipelines:

• Design and implement large-scale, production-grade AI/ML pipelines using appropriate tools and algorithms.
• Lead the full end-to-end ML lifecycle: model development, deployment, monitoring, and optimization for both on-prem and cloud environments.

Data Solution Design and Management:

• Define, develop, and sustain data solutions including storage, processing units, and user interfaces for industrial-grade applications.
• Build multi-tenant data collectors and storage systems.
• Implement streaming and batch data processing for near-real-time flows.

Data Modeling and Quality:

• Design scalable data models (SQL and NoSQL).
• Assess and improve data quality across incoming data flows.
• Apply data management and security best practices.

Analytics and Visualization:

• Develop customizable analytical dashboards for stakeholders.
• Ensure strong testing and quality assurance practices throughout development.

Innovation and Technology Evaluation:

• Stay updated on emerging technologies and evaluate opportunities for integration.
• Contribute to continuous improvement of AI/ML solutions and processes.

Qualifications

Education: Master’s or Ph.D. in Computer Science, Data Engineering, Machine Learning, or related field.

Experience:

• Proven experience in designing and deploying AI/ML solutions at scale.
• Strong background in data engineering and pipeline development.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and on-prem solutions.

Technical Skills:

• Proficiency in Python, SQL, and NoSQL databases.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data streaming tools (Kafka, Spark) and containerization (Docker, Kubernetes).
• Experience working with Microsoft solutions and Databricks is a plus.
• Familiarity with CI/CD and MLOps practices.

Soft Skills:

• Strong problem‑solving and analytical mindset.
• Ability to work collaboratively in cross‑functional teams.
• Excellent communication and documentation skills.

Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrow’s mobility. That’s why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose?

Equal opportunity statement:
Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law.