NEORIS - Senior Machine Learning Engineer

• 🔹 Machine Learning Model Development • Design, train, test, and optimize machine learning models focused on transportation and delivery use cases. • Develop predictive models primarily using XGBoost and related ML techniques. • Perform feature engineering, feature selection, and experiment design to improve model performance and business outcomes. • Evaluate model accuracy, robustness, and operational impact using appropriate statistical and ML metrics. • 🔹 Supply Chain & Transportation Analytics • Analyze transportation and logistics workflows to identify optimization opportunities. • Collaborate with business stakeholders to understand operational processes, delivery constraints, and performance drivers. • Translate business requirements into scalable data science and ML solutions. • 🔹 Data Exploration & Engineering • Conduct exploratory data analysis (EDA) on large operational and logistics datasets. • Partner with data engineering teams to ensure reliable data ingestion, transformation, and feature availability. • Ensure data quality, consistency, and readiness for model development. • 🔹 ML Engineering & Deployment • Deploy and operationalize ML models using Google Vertex AI. • Support the implementation of scalable ML pipelines and MLOps best practices. • Collaborate with engineering teams to integrate models into production systems and business workflows. • 🔹 Collaboration & Leadership • Work closely with cross-functional teams including Supply Chain, Operations, Data Engineering, and Product teams. • Provide technical guidance on model design, experimentation, and deployment strategies. • Document methodologies, findings, and implementation approaches clearly for both technical and business audiences.