Machine Learning Engineer

Easyship is seeking a Machine Learning Engineer to build and scale predictive intelligence systems across pricing, logistics automation, fraud detection, and revenue optimization. The role requires experience in building and deploying ML models, working with structured and large-scale datasets, and collaborating with cross-functional teams.

Requirements

• 3+ years of experience in Machine Learning, Applied ML, or Data Science roles
• Experience building and deploying ML models into production
• Prior experience building fraud detection models
• Experience in SaaS, e-commerce, fintech, logistics, or marketplaces
• Strong Python (Pandas, NumPy, Scikit-learn, XGBoost/LightGBM/CatBoost)
• Advanced SQL proficiency
• Experience working with structured and large-scale datasets
• Experience building ML pipelines and production APIs
• Familiarity with GCP ecosystem (BigQuery, Airflow, Dataform, Vertex AI)
• Strong understanding of regression & classification models, imbalanced datasets, feature engineering for behavioural data, time-series forecasting, ranking/recommender systems, experiment design & evaluation metrics

Benefits

• Generous remuneration and stock units
• Comprehensive health coverage
• Gym and wellness expenses reimbursement
• Zomato digital meal credits
• Pantry full of wholesome snacks
• Four weeks of remote work per year
• Generous vacation policy, plus duvet days and mental health days