Plan, design and develop components in the data pipeline to enable various machine learning models in production.
Work closely with Data Scientists and Research Scientists to translate the state-of-the-art to production systems.
Develop metrics to measure the outcome/impact of your introduced solutions.
Investigate the existing pipeline, identify bottlenecks and optimize the throughput and latency of ML components.
Document and improve the solutions over time.
Evaluate and identify new technologies for implementation.
Communicate with our business and technical teams to understand the analytics requirements.
Respond and follow up to incorporate feedback and draw new insights.
Prioritize tasks to meet multiple deadlines.
Skills Required
Machine Learning
Python
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