About Betternship
About
Our client is a fast-growing startup that uses your website data to provide exact instructions for optimizing every single part of your website, converting visitors to lifetime customers, and boosting your revenue. They are looking for a Machine Learning Engineer to build and maintain scalable infrastructure for real-time collection
Job Description
Job Description
As Machine Learning Engineer (Experimentation Platforms), you will build and maintain scalable platforms for A/B and multivariate testing, leveraging Bayesian learning models. This includes designing infrastructure for real-time data collection, Bayesian inference, and automated decision-making to optimize user experiences and product features.
Responsibilities:
- Develop scalable infrastructure for continuous A/B testing and multivariate experiments.
- Implement Bayesian updating models for dynamic test evaluations.
- Build APIs and tools to integrate experimentation frameworks with existing products.
- Optimize data pipelines for efficient collection and analysis of experiment metrics.
Qualifications
- Experience with Python, TensorFlow, PyTorch, or similar frameworks.
- Strong knowledge of Bayesian inference and probabilistic programming.
- Familiarity with cloud services like AWS, Azure, or Google Cloud for scalable computation.
- Proficiency in Docker, Kubernetes, and CI/CD practices.
Benefits
- Monthly salary of N150 - N200K
- A supportive, inclusive, and remote-first work environment.
- A chance to make a significant impact at a growing company.
Ready to Elevate Your Team?
Take the next step towards success by hiring top-tier talents through Betternship. Whether you need creative designers, skilled developers, or strategic marketers, we’ve covered you.
