Job Description
About the job
Join a high-growth machine learning engineering team to build and scale production ML systems that directly drive advertising revenue.
You’ll sit at the intersection of data science and engineering, designing and deploying models that power intelligent ad-tech products and platforms.
This is a hands-on role owning end-to-end ML systems, from training pipelines to real-time inference, CI/CD, monitoring, and model optimization, using AWS (SageMaker, EMR, EC2), Snowflake, Databricks, Spark, and modern MLOps tooling.
If you enjoy building scalable, high-impact ML systems in a real-time AdTech environment and want visibility across Product and commercial teams, this is a chance to shape core revenue-driving infrastructure.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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