AI & Machine Learning Engineer

Schneider National • Green Bay, WI

8h • Onsite

About The Position

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Requirements

• Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
• A minimum of 2 years of experience in software engineering, data science or a related field in IT.
• Proficient in programming languages such as Python, Java or C++.
• Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
• Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
• Experience with SQL, database management and application development in a Linux server environment
• Proficiency with version control systems (e.g., Git).
• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
• Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

Responsibilities

• Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
• Develop and optimize data processing and feature engineering pipelines.
• Build APIs and microservices that support machine learning models.
• Implement model performance monitoring and drift detection.
• Write high-quality, efficient and well-documented code.
• Conduct code reviews and mentor junior engineers on best practices for software development.
• Perform data analysis and generate insightful reports to support business decisions.

Benefits

• Medical, dental and vision insurance.
• Company paid life insurance.
• 401(k) savings plan with company match.
• Paid time off and paid holidays.
• Results-based incentive pay program where you can earn above and beyond your base pay.
• Tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level