Are you a seasoned machine learning expert who lives and breathes complex code? If you hold an MSc or PhD and want to tackle challenging engineering problems on your own schedule, this project with Xperteez Technology might be your next big adventure. We are looking for brilliant minds to join our global team for a flexible, contract-based role where your deep technical knowledge will directly shape advanced AI training systems.
Overview
Xperteez Technology is hiring a Senior ML Engineer for a fully remote, worldwide contract position. You will dedicate around 15 hours per week to cutting-edge artificial intelligence projects. Because the schedule is entirely up to you, you can work days, nights, or weekends depending on what fits your lifestyle best.
Key Responsibilities
- Develop and validate advanced machine learning models, robust training pipelines, and high-performance inference systems.
- Create, solve, review, and thoroughly validate challenging machine learning engineering tasks.
- Implement or modify core model components and construct fully reproducible training or inference workflows.
- Optimize system memory and throughput while debugging complex numerical or system-level failures.
- Verify that every implementation strictly satisfies objective correctness and performance requirements.
Requirements
- An MSc or PhD in a relevant technical discipline.
- Deep expertise in machine learning, numerical computing, and performance optimization.
- Strong proficiency in Python and hands-on experience using modern coding agents within your daily workflow.
- Ability to work autonomously in a global, fully remote environment.
What You'll Gain
You will enjoy total flexibility over your working hours while collaborating on intellectually stimulating AI projects. This role lets you flex your advanced coding muscles, sharpen your machine learning systems design skills, and work alongside top-tier global talent without sacrificing your current commitments.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

