Associate Machine Learning Engineer

Role Overview

As an ML Engineer, you will be responsible for the deployment of our core data science and AI models into our Global Mobility Solution platform. You will transform proof-of-concept models into production-ready solutions and deploy them at scale.

Responsibilities

• Contribute to the building of our ML Operations platform
• Support model deployment into Production platforms, ensuring effective model management including artifact versioning, serving, inference pipelines, and production integration
• Support monitoring, logging, and observability to ensure system reliability and performance
• Build and manage containerized deployment environments
• Evaluate and integrate cloud-native services, distributed computing frameworks, and infrastructure automation tools
• Collaborate with data scientists, cloud engineers and data engineers to support, troubleshoot, and optimize AI models productionalization
• Build model performance benchmarking, evaluation and monitoring capabilities

Requirements

• Bachelor degree in Computer Science, Master preferred
• Fluency in English
• 3-4 years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
• Strong understanding of software development lifecycle and best practices
• Good problem-solving skills and attention to detail
• Ability to function independently and in a collaborative team environment

Skills

• Python
• AWS
• Kubernetes
• Docker
• Terraform