Senior ML Engineer, Applied Machine Learning
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should have a strong background in software engineering with experience in building and maintaining machine learning infrastructure. Proficiency in MLOps practices, including version control for models and datasets, is essential. Familiarity with cloud technologies and ETL processes is required, along with the ability to collaborate effectively with ML Engineers to optimize model performance.
The Senior Platform Engineer, Machine Learning will design and implement infrastructure for ML model management, including training, deployment, and monitoring. They will build and maintain platforms for running ML algorithms at scale, develop systems for A/B testing and performance monitoring, and create ETL infrastructure to support ML workflows. Additionally, they will implement best practices for MLOps, ensure the scalability and security of ML systems, and stay current with advancements in MLOps and cloud technologies.
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