Senior AI/ML Engineer — Production Systems & Impact

Bass Pro Shops; Town of Springfield (WI); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Discounts on retail merchandise

401k Retirement Savings

Job summary

Bass Pro Shops is seeking an experienced Machine Learning Engineering professional to design and deploy enterprise AI solutions across retail, operations, and customer experience. You will build scalable ML models, write production-grade Python code, and collaborate with data scientists and MLOps to deploy, monitor, and optimize models in cloud and edge environments.

The role emphasizes production ML systems, model evaluation, responsible AI practices, and robust data handling.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 8+ years of software/ML engineering experience.
• 5+ years building/training/fine-tuning ML models in business environments.
• Strong Python and ML framework proficiency (PyTorch, TensorFlow, scikit-learn).
• Experience with production APIs, services, or batch/streaming inference components.
• Familiarity with Git-based workflows, automated testing, and containerization.

Responsibilities

• Design, develop, and evaluate ML models and inference pipelines for enterprise use cases.
• Build production-quality Python code for model training, evaluation, and inference services.
• Collaborate with Data Scientists to define data, evaluation metrics, and tradeoffs.
• Package, deploy, monitor, and optimize models in cloud/edge/hybrid environments.
• Develop APIs and data interfaces to integrate model outputs into enterprise tools.

Skills

Python

PyTorch

TensorFlow

scikit-learn

APIs

Git

Containerization

ONNX

TensorRT

OpenVINO

Databricks

MLflow

Azure ML

Education

Bachelor’s Degree in CS/AI/ML/related field

Tools

Git

Docker

Kubernetes

ONNX

TensorRT

OpenVINO

MLflow

Azure ML

Databricks

Job description

Bass Pro Shops is seeking an experienced Machine Learning Engineering professional to design and deploy enterprise AI solutions across retail, operations, and customer experience. You will build scalable ML models, write production-grade Python code, and collaborate with data scientists and MLOps to deploy, monitor, and optimize models in cloud and edge environments.

The role emphasizes production ML systems, model evaluation, responsible AI practices, and robust data handling.