Machine Learning Engineer

Alstom; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A global transportation company based in Singapore is seeking a Machine Learning Engineer to contribute to their Data Science and AI programs. The role entails designing, deploying, and maintaining AI/ML software modules to enhance customer performance through advanced analytics. Ideal applicants will possess a Master’s degree in a relevant field, proven experience in AI/ML solutions, and strong skills in Python, SQL, and cloud platforms. This position offers the opportunity to work in a dynamic and inclusive environment.

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.

Responsibilities

• Architect and develop AI/ML pipelines for large-scale applications.
• Design and sustain data solutions with storage and processing units.
• Develop customizable analytical dashboards for stakeholders.

Skills

Python

SQL

NoSQL databases

ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Data streaming tools (Kafka, Spark)

Containerization (Docker, Kubernetes)

Education

Master’s in Computer Science, Data Engineering, Machine Learning, or related field

Tools

AWS

Azure

GCP

Databricks

Job description

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 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.

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.

Machine Learning Engineer • Singapore, SG