Senior Machine Learning Engineer (Classical ML & MLOps)

About the Role

We are seeking a Senior Machine Learning Engineer with strong expertise in classical machine learning algorithms, model optimization, and end-to-end MLOps deployment.

You will design, build, and operationalize scalable ML pipelines and ensure that ML models transition smoothly from experimentation to production. The ideal candidate combines deep technical skills with hands-on experience in automating and maintaining ML systems at scale.

Key ResponsibilitiesMachine Learning Development

• Design, train, and validate classical ML models (regression, tree-based models, ensemble methods, clustering, anomaly detection, etc.) for structured / tabular datasets.
• Collaborate with data scientists and data engineers to translate analytical models into production-grade code.
• Perform feature engineering, model tuning, and evaluation using frameworks like Scikit-learn, XGBoost, LightGBM, or CatBoost.
• Analyze data quality, perform exploratory data analysis (EDA), and create reusable feature stores.

MLOps & Productionization