Senior ML Engineer

As a Senior ML Engineer at Games Global, you'll be part of a dynamic team dedicated to developing advanced data products for the gaming industry. Your primary responsibility will be to design, build, and optimize machine learning models and pipelines that deliver significant business value. You will take ownership of the entire ML lifecycle, from data ingestion to deployment, ensuring that models not only perform well in theory but also thrive in production environments.

In this role, you'll collaborate closely with AI Engineers and data teams to transform business use cases into robust ML solutions. You'll also be responsible for building and maintaining MLOps infrastructure, which is crucial for reliable model delivery. Monitoring model performance and ensuring data quality will be key aspects of your daily work, as will mentoring junior engineers to help them grow in their careers.

The ideal candidate will have deep expertise in machine learning, solid software engineering skills, and hands-on experience with MLOps and cloud platforms, preferably AWS. A strong foundation in statistics and mathematics is essential, along with the ability to communicate effectively across teams. If you have a track record of building and deploying ML systems at scale and enjoy solving complex problems, this role is a perfect fit for you.

To succeed in this position, you should have at least five years of experience in machine learning and software engineering, along with a relevant degree in Computer Science, Statistics, or a related field. Your ability to break down technical challenges and mentor others will be highly valued in this innovative and collaborative environment.