THE ROLE
We are looking for a Senior Machine Learning Engineer to design own and scale predictive systems that power VIS.X - our programmatic advertising platform.
You will take end-to-end responsibility for high-impact ML initiatives (e.g. pricing optimization bid prediction performance forecasting delivery optimization) and translate complex business problems into robust production-grade machine learning systems.
This is a senior individual contributor role with leadership potential. You will help shape our ML architecture standards and long-term AI strategy with the opportunity to grow into a team lead role as we expand our data science capabilities.
What Youll Do
- Take ownership of machine learning problems from concept to production
- Design build and deploy predictive models (e.g. pricing bidding optimization forecasting)
- Develop scalable feature engineering and data pipelines for large-scale datasets
- Define experimentation frameworks (A/B testing offline validation model comparison)
- Ensure production-grade MLOps: monitoring retraining drift detection reliability
- Collaborate closely with DevOps Product Engineering teams to align ML with business impact
- Quantify model impact on revenue margin and performance KPIs
- Contribute to building our long-term ML architecture and best practices
YOUR PROFILE
- 5 years of experience in machine learning / applied ML roles with production ownership
- Proven track record of deploying and maintaining ML systems in real-world environments
- Strong Python skills (e.g. pandas scikit-learn PyTorch/TensorFlow)
- Solid knowledge of statistics experimentation design and model evaluation
- Experience working with large-scale datasets and performance-critical systems
- Understanding of MLOps principles (model lifecycle monitoring CI/CD integration retraining pipelines)
- Strong problem ownership mindset - ability to independently structure ambiguous challenges
- Ability to translate business trade-offs into modeling decisions
- Experience in AdTech marketplaces or auction-based systems is a plus
- Experience working in high-scale real-time systems is a plus
THE ROLEWe are looking for a Senior Machine Learning Engineer to design own and scale predictive systems that power VIS.X - our programmatic advertising platform.You will take end-to-end responsibility for high-impact ML initiatives (e.g. pricing optimization bid prediction performance forecasting d...
THE ROLE
We are looking for a Senior Machine Learning Engineer to design own and scale predictive systems that power VIS.X - our programmatic advertising platform.
You will take end-to-end responsibility for high-impact ML initiatives (e.g. pricing optimization bid prediction performance forecasting delivery optimization) and translate complex business problems into robust production-grade machine learning systems.
This is a senior individual contributor role with leadership potential. You will help shape our ML architecture standards and long-term AI strategy with the opportunity to grow into a team lead role as we expand our data science capabilities.
What Youll Do
- Take ownership of machine learning problems from concept to production
- Design build and deploy predictive models (e.g. pricing bidding optimization forecasting)
- Develop scalable feature engineering and data pipelines for large-scale datasets
- Define experimentation frameworks (A/B testing offline validation model comparison)
- Ensure production-grade MLOps: monitoring retraining drift detection reliability
- Collaborate closely with DevOps Product Engineering teams to align ML with business impact
- Quantify model impact on revenue margin and performance KPIs
- Contribute to building our long-term ML architecture and best practices
YOUR PROFILE
- 5 years of experience in machine learning / applied ML roles with production ownership
- Proven track record of deploying and maintaining ML systems in real-world environments
- Strong Python skills (e.g. pandas scikit-learn PyTorch/TensorFlow)
- Solid knowledge of statistics experimentation design and model evaluation
- Experience working with large-scale datasets and performance-critical systems
- Understanding of MLOps principles (model lifecycle monitoring CI/CD integration retraining pipelines)
- Strong problem ownership mindset - ability to independently structure ambiguous challenges
- Ability to translate business trade-offs into modeling decisions
- Experience in AdTech marketplaces or auction-based systems is a plus
- Experience working in high-scale real-time systems is a plus
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