Machine Learning Engineer - Remote

Overview

This role offers the chance to work at the intersection of data science and engineering, building and scaling high-performance machine learning systems that power fraud detection at a global level.

In Short

• Design, build, and manage scalable end-to-end ML pipelines.
• Collaborate with data scientists to deploy machine learning models.
• Implement workflow orchestration using tools like Prefect.
• Enhance MLOps infrastructure including model versioning and monitoring.
• Troubleshoot performance bottlenecks in production systems.
• Continuously improve internal tools and engineering practices.
• Work with large-scale datasets and modern orchestration tools.
• Contribute to improving processes, tools, and workflows.
• Collaborate closely with engineers and data scientists.
• Own impactful projects that protect businesses and customers worldwide.

Requirements

• Experience in machine learning and data engineering.
• Proficiency in Python and ML frameworks.
• Knowledge of MLOps best practices.
• Experience with workflow orchestration tools.
• Strong problem-solving skills.
• Ability to work collaboratively in a team.
• Experience with large-scale datasets.
• Understanding of model deployment and monitoring.
• Familiarity with performance optimization techniques.
• Passion for innovative technology and solutions.

Benefits

• Opportunity to work on impactful projects.
• Collaborative and innovative work environment.
• Work with cutting-edge technology.
• Competitive salary and benefits package.
• Flexible working arrangements.
• Professional development opportunities.
• Supportive team culture.
• Chance to contribute to global fraud detection efforts.
• Ownership of your projects.
• Work with a diverse team across the globe.