Machine Learning Engineer at Easyship

Easyship

Bangalore·13h ago

Mid LevelFull-timePythonRustGCPMachine LearningData ScienceGitAIMLData

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Machine Learning Engineer to join Easyship, a leading multi-carrier shipping software company. This role involves building and scaling predictive intelligence systems across pricing, logistics automation, fraud detection, and revenue optimization.

Key Responsibilities

→Design and deploy ML models for fraud detection, pricing optimization, propensity modeling, product classification, and auto-filling shipment details
→Build regression, classification, ranking, and time-series models using structured logistics, transactional, and behavioral data
→Own the ML lifecycle from data exploration and feature engineering to deployment, monitoring, and iteration
→Collaborate with Product, Engineering, Business, and Operations teams to turn business problems into production-ready ML systems

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 skills (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 behavioral data, time-series forecasting, and ranking/recommender systems