Machine Learning Engineer

Date: May 22, 2026

Location: Moka, MU

Company: International SOS

We’re Hiring: Machine Learning Engineer (Senior) — Mauritius

 

Are you passionate about turning cutting-edge machine learning models into scalable, production-ready systems?

 

About the Role

As a Machine Learning Engineer, you will play a key role in industrialising AI capabilities and transforming experimental models into robust, high-performance production solutions.

You’ll work at the intersection of Data Science, Product, and Engineering, ensuring our ML systems are reliable, scalable, and secure.

 

What You’ll Do

ML Systems & Deployment

  • Design and build scalable training, deployment, and inference pipelines
  • Deploy ML models using CI/CD, containerisation, and cloud platforms
  • Ensure performance, latency, and reliability at scale

MLOps & Lifecycle Management

  • Implement model versioning, monitoring, and automated retraining
  • Detect and manage model drift, data drift, and performance degradation
  • Establish best practices and operational standards for AI systems

Collaboration & Product Integration

  • Partner with Data Scientists to productionise and scale models
  • Collaborate with Product & Engineering teams to embed ML into customer-facing products
  • Translate experimentation into business-ready solutions

Governance, Security & Responsible AI

  • Ensure compliance with privacy, security, and regulatory requirements
  • Promote explainability, auditability, and ethical AI practices
  • Maintain clear documentation of models and decisions

What You Bring

8+ years of experience in ML Engineering, MLOps, or Software Engineering
Strong coding skills in Python
Proven experience with cloud environments and scalable systems
Hands-on expertise with tools like

  • MLflow, Kubeflow, SageMaker
  • Kubernetes

à Bachelor’s degree in Computer Science, Engineering, or related field
à Master’s in AI, Big Data, or similar is a plus

 

Why Join Us?

  • Work on impactful, real-world AI applications
  • Collaborate with top-tier data and product teams
  • Be part of a global organisation focused on innovation and safety
  • Shape the future of AI-powered risk intelligence

 

Interested? Apply now