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# Senior Machine Learning Engineer - GUS

- **Company:** Zoro Tools, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $134,100.0 - $223,500.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon S3, Big Data, Databases, Continuous Integration, Extract Transform Load (ETL), DevOps, Github, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Data Streaming, Web Applications, Pytorch, Snowflake, Deep Learning, Containerization, Scikit Learn, Kubernetes, Information Technology, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88720694/1

## About the Role

* Bachelor's Degree Computer Science, Engineering, or a related field required
 * Master's Degree Related technical field or equivalent practical experience preferred
 * 3+ years Production ML, optimization, modern data tools, and scalable engineering practices required
 * Demonstrates experience with AWS services such as S3, ECR, and Secrets Manager.
 * Deploys and maintains production-grade machine learning solutions using Python.
 * Applies mathematical optimization using solvers like Gurobi.
 * Develops web applications integrated with machine learning and ERP systems.
 * Applies knowledge of operations research and optimization modeling.
 * Utilizes database technologies (e.g., Snowflake, DuckDB) and SQL for data querying.
 * Works with containerization tools including Kubernetes and Docker.
 * Understands machine learning concepts such as time series forecasting and clustering.
 * Follows software engineering best practices including version control and CI/CD (e.g., GitHub, GitHub Actions).
 * Automates workflows using orchestration tools like Astronomer or Airflow.
 * Builds and supports solutions within the Databricks platform.
 * Uses machine learning frameworks and libraries such as PyTorch and scikit-learn.

## Description

The Senior Machine Learning Engineer - GUS designs and delivers scalable, production-grade solutions that enhance data-driven decision-making across the enterprise. This role leads the development and automation of robust data pipelines, deploys advanced machine learning and operations research models, and creates reusable tools and frameworks that enable data scientists to accelerate experimentation and model delivery. The position collaborates with cross-functional teams-including planning, product management, and analytics-to drive improvements in availability, efficiency, and overall business performance across diverse operational domains.

You Will

 * Leads the development of scalable, automated processes for large-scale data analysis, model training, validation, and deployment.
 * Oversees the implementation and continuous improvement of machine learning and operations research models in collaboration with data scientists, while partnering cross-functionally to ensure alignment with business needs.
 * Designs and maintains robust ETL pipelines and automate critical system operations to support reliable data flow and model performance.
 * Builds internal tools and web applications that enable stakeholders to interact with ML and ERP systems effectively.
 * Evaluates and integrates emerging technologies to drive innovation and align solutions with strategic goals.
 * Ensures production-grade reliability and maintainability of deployed ML solutions using best practices in software engineering and DevOps.
 * Mentors and guides team members in technical execution, architecture decisions, and career development.
 * Creates and maintains architectural diagrams and documentation to support system design, scalability, and knowledge sharing across teams.