Ml Engineer (Remote Contract)

Join a dynamic project focused on developing a robust machine learning-driven payments retry system to enhance ECOM transaction success rates.

This full-time contract role is fully remote, offering the opportunity to lead the design and implementation of advanced ML solutions for a critical business function.

You will collaborate with cross-functional teams to architect, build, and deploy scalable models that directly impact payment reliability and customer experience.

Responsibilities

Design, develop, and deploy machine learning models for payment retry optimization

Analyze transaction data to identify failure patterns and inform model improvements

Collaborate with engineering and product teams to integrate ML solutions into production systems

Monitor model performance, conduct A / B testing, and iterate based on results

Ensure solutions are scalable, secure, and compliant with industry standards

Document processes, models, and system architecture for knowledge sharing

Skills and Requirements

Proven experience in machine learning engineering, with a focus on payments or financial systems

Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)

Deep understanding of data modeling, feature engineering, and algorithm selection

Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models in production

Familiarity with payment processing systems, ECOM transaction flows, and retry logic

Excellent problem-solving skills and ability to work independently in a remote environment

Strong communication skills for cross-functional collaboration

Bachelor's or Master's degree in Computer Science, Engineering, or related field

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Seniority level : Mid-Senior level

Employment type : Contract

Job function : Software Development

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