Machine Learning Engineer I

Role Overview: You will be part of Swiggy's Machine Learning Platform team in Bangalore, Karnataka, contributing to building the foundations for large-scale prediction systems like ETA, pricing, and demand forecasting. This role requires a combination of applied modeling, data science, and engineering rigor to ensure that models are accurate, reliable, explainable, and production-ready at scale. Key Responsibilities: - Contribute to the design, training, and evaluation of ML models with a focus on reproducibility, stability, and generalization. - Build and maintain scalable pipelines for model training, validation, and deployment. - Apply sound statistical reasoning to assess data quality, feature behavior, and model diagnostics. - Collaborate with scientists and engineers to translate analytical insights into robust ML components. - Support continuous monitoring and improvement of model performance over time. - Champion good ML practices such as controlled experiments, documentation, and interpretability. Qualifications Required: - Strong grasp of machine learning fundamentals including supervised learning, regularization, validation strategies, and performance metrics. - Working understanding of statistics and data analysis, covering variance, bias, correlation, and uncertainty. - Proficiency in Python and numerical computing with the ability to reason about algorithms and data flow. - Clear, reproducible coding style and comfort in handling large-scale structured data. - 1-3 years of experience in applied ML, data science, or software engineering (scope calibrated to level). - Enthusiasm for building practical, explainable, and scalable ML systems that have a measurable impact. - Prior experience in developing or deploying ML models in production environments. Note: Additional details about the company were not provided in the job description.,