AI Engineer

Blattner is a company with over 115 years of construction experience, focusing on renewable energy solutions. The AI Engineer will support the development and deployment of AI and Machine Learning solutions to enhance utility-scale renewable energy projects, collaborating with IT and data teams to deliver secure and scalable solutions.

Responsibilities:

• Builds, tests, and deploys components of AI/ML models and applications (features, services, pipelines) that support renewable energy planning, forecasting, construction optimization, and operational insights, under guidance and within established patterns and standards
• Implements components of MLOps workflows including data pipelines, packaging, versioning, monitoring, and model retraining
• Collaborates with IT and data teams to ensure AI solutions follow security, integration, and performance requirements
• Breaks down requirements into well-defined technical tasks; implements approved technical designs and contributes implementation-level input during design reviews

Requirements:

• Bachelor's degree in Computer Science, Data Science, or related field
• 2 or more years of professional experience in Machine Learning, AI Engineering, or related fields
• Experience developing AI/ML solutions and supporting deployment to cloud environments (Azure preferred), working within established engineering and security standards
• Proficiency with Python, APIs, and modern ML frameworks (e.g., Scikit-learn, XGBoost, Langchain, Tensorflow, LlamaIndex, etc.)
• Understanding of data engineering concepts, cloud services, and enterprise integration patterns