Machine Learning Engineer

• Plan, design, and develop data-pipeline components to enable machine-learning models in production.
• Collaborate with Data Scientists and Research Scientists to translate state-of-the-art work into production systems.
• Develop metrics to measure the outcomes and impact of introduced solutions.
• Investigate existing pipelines, identify bottlenecks, and optimize ML component throughput and latency.
• Evaluate and identify new technologies for implementation.
• Communicate with business and technical teams to understand analytics requirements.
• Work on large-scale, low-latency ML systems handling billions of requests per day in milliseconds.
• Collaborate with regional cross-country R&D teams, Data Scientists, Research Scientists, and Software Engineers.

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