Lennox is looking to solve business and technical problems in the HVAC and manufacturing industry by leveraging innovative and sustainable products and services, and is seeking an intern to contribute to impactful projects and gain exposure to cutting-edge technologies and trends.
Requirements
- Strong foundation in machine learning and data science, including regression, classification, and time series modeling.
- Proficiency in Python and data tools such as Pandas, NumPy, Scikit-learn, and SQL
- Understanding of GenAI and LLMs, with interest in prompt engineering, agentic workflows, and tool integration
- Ability to analyze structured and unstructured data, perform feature engineering, and build interpretable models.
- Pursuing a Masters degree in a related field
- Interest or desire to lead project teams
- Well organized & detail oriented
Responsibilities
- Collaborate on building agentic AI systems that automate diagnostics and decision-making in engineering workflows.
- Develop and validate machine learning models for forecasting, quoting, and operational optimization.
- Conduct data analysis and feature engineering using structured and unstructured enterprise datasets.
- Contribute to LLM-based agent development, including prompt design, tool integration, and fallback orchestration.
- Assist in deploying models and agents using cloud technologies and secure enterprise pipelines.
- Participate in AI governance, ensuring models comply with data policies and learn from feedback.
- Work cross-functionally with product, engineering, and business teams to deliver impactful solutions.
Other
- Pursuing a Masters degree in a related field
- Solid written and verbal communication skills.
- Requires enrollment in a masters program.
- Ability to work independent as well as part of a team
- Passion for producing high quality work
