AI Engineering Fall Co-Op

Lennox International•Richardson, TX

4d•$23 - $25

About The Position

As a Data & AI Co-Op, you will work closely with the Data & AI team and cross-functional partners to support data modeling, AI application development, reporting, and foundational machine learning efforts. This is an excellent opportunity to gain real-world experience with emerging AI technologies, cloud platforms, and data-driven applications in a collaborative, fast-paced environment. You can expect to participate in impactful, developmental projects designed for your specific area of focus. This role will provide you with real work experiences to grow your career and provide exposure to business leaders throughout the company. Relocation and/or travel may be required for your position.

Requirements

Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related STEM field
Proficiency in Python and SQL
Understanding of machine learning and Generative AI concepts
Familiarity with APIs and cloud platforms
Strong analytical and problem-solving skills
Effective written and verbal communication skills
Ability to work independently and as part of a team
Passion for learning emerging AI technologies
Requires a high school diploma or an equivalent combination of education and experience.
Entry Level.
Developing professional knowledge in the area of expertise.
Proficient in Microsoft Office.

Nice To Haves

Experience with cloud platforms, AI/ML frameworks, LLMs, APIs, data engineering tools, or software development practices
Demonstrated curiosity for emerging AI technologies
Graduate-level coursework or graduate student status

Responsibilities

Assist in the implementation of data and AI solutions under supervision.
Support basic data modeling, AI engineering tasks, and foundational data science practices.
Create SQL queries to support reporting, dashboards, and exploratory data analysis.
Document processes and assist in maintaining AI pipelines and systems.
Participate in team collaboration to gain exposure to machine learning model training and deployment.
Learn and apply foundational AI engineering and machine learning practices.
Participate in training sessions to learn about AI engineering and machine learning tools used by the team.
Support the development of scalable data and AI workflows that integrate multiple systems and services.
Contribute to the development of AI-powered applications using large language models, APIs, and prompt engineering techniques.
Learn to utilize LLM models to automate basic tasks and support the development of agentic solutions under supervision.
Gain exposure to LLM API integration, evaluation, and deployment practices.
Assist with the design and build of generative AI solutions that automate or enhance business processes.
Support the implementation of cloud-based data solutions by assisting with basic configuration and monitoring tasks.
Help the team ensure reliability and scalability across foundational cloud and AI projects.
Gain hands-on experience with cloud-based AI solutions, monitoring, and automation capabilities.
Contribute to the integration of AI functionalities within software applications.
Support the team in implementing data and AI-driven applications using web frameworks.
Collaborate with team members on projects involving automation platforms, AI workflows, APIs, and software development best practices.

Benefits

Competitive Pay and Relocation Support
Relocation support if needed
Competitive compensation package
social events
team-building activities
engagement programs
workshops
training sessions
resources to level up your skills and expand your knowledge
Employees in this role are also eligible to earn overtime when they work more than 40 hours in a week (or as otherwise required by state law).