The University desires applicants with a commitment to the mission; teaching, learning, and student success; integration of learning outcomes assessment into course development and teaching; use of current and emerging technologies to enhance instruction; and integration of global perspectives in instruction.

This is a full-time faculty position. Salary is commensurate with rank and credentials.

JOB POSITION 

• Assistant Professor
• Associate Professor
• Professor

JOB DESCRIPTION

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Good team player, coordinating with others is a must

Required Qualifications

• Ph.D. in a field related to artificial intelligence
• Data Scientist
• Machine Learning Specialist 

Preferred Qualifications

• College and Graduate level teaching experience
• Strong focus on teaching and student success
• Experience with curriculum development and assessment
• Strong oral and written communication skills
• Community college teaching experience
• Experience and/or certification in teaching online and/or hybrid courses
• Experience using technology and learning management systems to effectively facilitate teaching, learning, assessment, and communication
• Experience reviewing assessment data to improve student success

Special Skills:

• Programming Skills in Python, R, Java, and C++ to build and implement models
• Knowledge in Linear Algebra, Probability and Statistics to understand and implement different AI models
• Know about spark and big data technologies
• Understand deep learning algorithms and implement using a frameworks
• Excellent communication and problem-solving skills