AI & Machine Learning Engineer

Location: Green Bay, WI, USA

Shift: First shift

Job Level

Individual Contributor

Schedule: Full time; Mon-Fri 1st Shift

Job Overview

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.

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.

• 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.

• 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.
• See full list of information technology benefits .

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.