Machine Learning Engineer

About

Elevate AI systems as a Machine Learning Engineer in a hybrid role. Transform experimental machine learning projects into scalable, production-ready solutions while ensuring compliance with security and ethical standards.

In this permanent position, you'll be responsible for operationalizing machine learning and generative AI systems. You will manage the model lifecycle, design production pipelines, and collaborate with data scientists and platform teams for successful model transitions. Strong engineering judgment will drive the deployment of AI/ML systems in enterprise environments.

Responsibilities

• Engineer pipelines for model training and deployment
• Oversee end-to-end model lifecycle management
• Ensure compliance with security and Responsible AI standards
• Automate deployment using CI/CD practices
• Monitor and manage AI system performance

Requirements

• 5+ years in software or ML engineering
• 4+ years managing large-scale data platforms
• 3+ years experience with Azure cloud services
• Proficiency in Python and SQL languages
• Familiarity with formal Agile delivery methods

Optimize your AI engineering career by contributing to impactful projects and enhancing global trade efficiency.