Machine Learning Engineer
Core
Designing robust training pipelines, deploying models to production, and ensuring ML solutions run reliably at scale on cloud infrastructure for CPG and Retail industries.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Scalable machine learning models and production-ready ML systems
Domain
Consumer Packaged Goods (CPG) and Retail
Deliverable
production ML models
Required skills
Python (OOP, type hints, testing), SQL, AWS (S3, EC2, Lambda), Docker, Linux, gradient boosting (LightGBM, XGBoost)
Preferred skills
Temporal Fusion Transformers (TFT), MLflow, Airflow/Prefect, Optuna, Terraform, SHAP
Technologies
Python, AWS, Docker, LightGBM, XGBoost, Temporal Fusion Transformers, MLflow, Airflow, Prefect, Optuna, Terraform, SHAP
Responsibilities
Design and maintain end-to-end ML pipelines; Train and optimize gradient boosting and deep learning models; Deploy and manage ML workloads on AWS; Package models for production with versioning and monitoring; Write clean, modular, well-tested Python code
Seniority
Mid-level, hands-on IC
