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We are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain. You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure.
Job Responsibility
You will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain
You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure
Requirements
Minimum 5+ years of proven industry experience working on production-level ML systems
Strong proficiency in TensorFlow is strictly required
Experience with Kubeflow is a massive plus
Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection
A collaborative team player who can easily interface with business stakeholders, translate business needs into technical objectives, and provide clear technical direction
Nice to have
Direct background in fintech or payment processing
Experience working in high-growth, large-scale tech companies or scale-ups