Senior Machine Learning Engineer

Lead the design and implementation of scalable, production-grade ML systems in cloud environments with a focus on performance, reliability, and reproducibility. Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals. Oversee the architecture and evolution of data pipelines for multi-terabyte datasets, ensuring efficiency and reliability. Guide the development of high-impact features and label sets across diverse domains such as healthcare and consumer analytics. Lead experimentation strategy, including design of A/B tests, advanced validation methods, and lifecycle management using tools like MLflow and Databricks. Drive continual model improvement through advanced techniques such as automated retraining, model decay analysis, and bias mitigation. Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques. Lead technical explorations into new ML architectures (e.g., foundation models, causal inference, time series deep learning). Serve as a technical leader and trusted advisor, working closely with product, engineering, data, and executive teams to shape end-to-end ML solutions. Set standards for code quality, performance, and documentation, and mentor junior engineers in best practices.