Lead Engineer AI/ML - Onsite at basspro

Location: Springfield, Missouri
Type: Full-time
Level: senior
Posted: Sep 3, 2026

Description

Bass Pro Shops is hiring a Machine Learning Engineer to design, build, test, and optimize production machine learning systems supporting enterprise AI initiatives across retail, operations, merchandising, customer experience, supply chain, and corporate functions. The role develops Python model code, inference services, reusable components, data pipelines, APIs, monitoring, and responsible-AI documentation, while collaborating with Data Science, MLOps, Data Engineering, security, privacy, and business teams. The position is onsite in Springfield, Missouri, with occasional travel, and requires a bachelor's degree in a relevant technical field or equivalent experience plus 8+ years of software or machine learning engineering experience.

Required Skills

Python
PyTorch
TensorFlow
scikit-learn
OpenCV
MLOps
Git
ONNX
TensorRT
Azure Machine Learning
MLflow
REST APIs
Event-driven architectures

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
Required Previous Experiences: 8+ years of experience in software engineering, machine learning engineering, applied AI engineering, or production ML systems.
5+ years of hands-on experience building, training, fine-tuning, or deploying machine learning models in applied business environments.
Experience with at least one machine learning domain, including natural language processing, forecasting, classification, recommendation systems, optimization, anomaly detection, multimodal AI, or generative AI.
Experience building production-quality APIs, services, or batch or streaming inference components.
Experience with Git, automated testing, code review, containerization, and collaborative engineering practices.
Preferred Qualifications: Familiarity with model optimization and deployment formats or tooling such as ONNX, TensorRT, OpenVINO, quantization, batching, or similar techniques.
Familiarity with Azure Machine Learning, Azure AI services, Databricks, MLflow, or equivalent cloud ML platforms.
Familiarity with event-driven architectures, REST APIs, message queues, data lakes, and metadata or event pipelines.
Experience with distributed inference, real-time AI systems, high-throughput event processing, or enterprise integration patterns.
Experience working with security, privacy, and governance requirements for sensitive operational data.
Translation Company Name: Bass Pro LLC