Kiewit Data Services is seeking a Senior Machine Learning Engineer to lead the development of cutting-edge AI solutions that enhance construction and engineering efficiency. In this role, you'll collaborate with cross-functional teams to deploy scalable ML models driving data-informed innovations across Kiewit Corporation's global projects.

Kiewit Corporation, a leader in construction and engineering, is revolutionizing its operations through advanced data services. As a Senior Machine Learning Engineer at Kiewit Data Services, you will play a pivotal role in designing, building, and deploying machine learning models that analyze vast datasets from projects worldwide. Your work will directly impact efficiency, safety, and innovation in infrastructure development.

Key responsibilities include leading end-to-end ML projects, from data ingestion and preprocessing to model training and inference. You will collaborate with data scientists, software engineers, and domain experts to integrate ML solutions into production systems, ensuring scalability and reliability. Opportunities abound to experiment with emerging technologies like computer vision for site monitoring and predictive analytics for resource allocation.

This remote contract position offers the chance to contribute to meaningful projects that shape the future of the industry while working with a supportive team dedicated to excellence.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field; PhD preferred
• 5+ years of experience in machine learning engineering, with a focus on model development, deployment, and optimization
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
• Strong experience with cloud platforms such as AWS, Azure, or GCP for ML workflows
• Expertise in data processing, feature engineering, and handling large-scale datasets
• Knowledge of DevOps practices for ML (MLOps) including CI/CD pipelines
• Excellent problem-solving skills and ability to work in agile environments
• Experience in the construction or engineering industry is a plus

• Competitive monthly salary with performance-based bonuses
• Fully remote work flexibility to support work-life balance
• Comprehensive health, dental, and vision insurance coverage
• Generous paid time off and flexible vacation policy
• Professional development opportunities including conferences and certifications
• Retirement savings plan with company matching
• Access to cutting-edge tools and technologies in a collaborative environment