AI Engineer

CBase AI - Cambridge, MA

Full-time - Mid Level

Cambridge, MA

About the position

As an AI Engineer at CBase AI, you will develop sophisticated AI-driven solutions to address the complexities of the construction ecosystem. This role involves designing, building, and deploying AI Agents that process and integrate diverse datasets, contributing to a sustainable construction industry where data is seamlessly shared across platforms. You will lead efforts to create scalable systems that automate data-driven decision-making, enhancing project efficiency and sustainability while collaborating with engineers, data scientists, and stakeholders.

Responsibilities

• Lead the design and development of AI Agents that automate critical tasks in construction project management, data integration, and decision-making processes.
• Architect and implement robust data pipelines to handle large and complex datasets, including BIM models, construction schedules, and sensor data.
• Build, train, and deploy machine learning models tailored to the unique challenges of the construction industry, from predictive analytics to real-time decision support.
• Design scalable, efficient AI systems that are robust enough to handle high volumes of construction data from diverse sources.
• Work closely with a multidisciplinary team of developers, data scientists, and construction professionals to ensure seamless integration of AI solutions into construction workflows.
• Continuously improve AI models and workflows through data analysis, testing, and optimization, driving innovation and improving project outcomes.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience in AI, machine learning, or data science roles, ideally working with large datasets and delivering end-to-end AI solutions.
• Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
• Proven experience in designing and deploying machine learning models in real-world applications, preferably in the construction or related industries.
• Solid understanding of data integration techniques and experience working with BIM models, construction data, or large-scale industry-specific datasets.
• Excellent problem-solving and analytical skills, with the ability to work on complex projects and take initiative to propose new solutions.
• Strong collaboration skills, with the ability to work effectively across teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Opportunities for professional development and career advancement.
• A collaborative culture that values ideas and teamwork.