As a Machine Learning Engineer, you will be responsible for building, deploying, and maintaining scalable ML solutions. You will sit at the intersection of Data Science and Software Engineering, ensuring that models move from research prototypes to reliable production systems.
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Design and implement end-to-end ML pipelines for training, testing, and deployment.
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Build and maintain automated pipelines (CI/CD for ML) to ensure seamless model versioning and lifecycle management.
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Fine-tune model performance and ensure efficient inference at scale.
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Implement observability to track model drift, performance metrics, and system reliability in production.
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Work closely with Data Scientists to translate mathematical models into high-quality, production-grade code.