Job Title: Sr. ML Engineer
The position is part of the broader Retail Analytics Engineering department, supporting the Price Value & Assortment Analytics organization in developing AI/ML driven analytical solutions at scale.
Key Responsibilities:
* Collaborate with data scientists to optimize and scale complex ML models and optimizer solvers.
* Establish robust Data and ML engineering principles in implementing ML algorithms on Azure Kubernetes or Google Cloud platform.
* Translate functionality into scalable, tested, and configurable platform architecture and software.
* Design and conduct experiments to evaluate the performance of machine learning models.
Requirements:
* 5+ years professional experience in implementing ML and Data Engineering at scale.
* 5+ years of experience with Python and SQL programming language.
* Experience building cloud native analytical solutions on Azure or GCP.
* 3+ years designing, implementing, and optimizing machine learning algorithms and models using open-source frameworks like Tensor Flow, PyTorch, and XGBoost.