Description

You will design and deploy data-driven classification and regression models for HVAC and building systems.

Responsibilities

• Develop machine learning algorithms using Python, including Random Forest and other classification techniques.
• Perform data analytics to build and validate regression models for relevant operational areas.
• Design algorithms that drive data-driven decision-making in HVAC environments.
• Maintain and improve data modeling pipelines for existing systems.

Required Skills

• Proficient in Python for data analysis and algorithm implementation.
• Strong background in data analytics and machine learning.
• Experience designing and implementing classification or regression models.
• Knowledge of available machine learning algorithms (e.g., Random Forest).
• Minimum 3 years of experience in developing data-driven models for HVAC, building, or relevant industries.
• Bachelor’s degree in a related field (Any Graduate).

Preferred Skills

• Knowledge of vapor compression cycles, heat transfer, and thermodynamics.

Key Skills

Education

Any Gradute