Intelligent Automation Developer

A career at Auto-Owners is challenging and rewarding.  Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our IT Division as an Intelligent Automation Developer. Responsibilities include developing, maintaining, and supporting software applications for new and existing systems. The position requires the person to:

• Define, develop, test, analyze, and maintain new and pre-existing software programs and applications.
• Actively participate in code/design reviews and brainstorming sessions.
• Develop program and system documentation.
• Analyze and fix software errors in a timely and accurate fashion.
• Consult with users, architects, project leaders, and management to resolve problems and suggest alternatives.

• Bachelor’s degree in Computer Science, Information Systems, Information Technology, a related field, or equivalent experience is required.
• Experience with any of these development technologies is a plus: RPA, Machine Learning, NLP, OCR/ICR, Data Analysis and Java.
• Identify innovations in OCR, text analytics and NLP leveraging ML/AI and deep learning to help advance automation, knowledge discovery, decision-making and insights, and streamline business processes or enable new capabilities in document understanding and knowledge extraction from text and unstructured data.
• The aptitude and desire for software development while demonstrating initiative.
• Knowledge of Agile software development principles, process, and tools.
• Must be able to learn and effectively use tools and software development techniques as practiced, acquired, or adopted within the IT Division.

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.