**Requisition ID:** 176685 **Job Level:** Mid Level **Home District/Group:** DHO Kiewit Data Services **Department:** Data Services **Market:** Corporate Home Office **Employment Type:** Full Time **Position Overview** As a Kiewit Data Services Machine Learning Engineer, you are responsible for reducing risk, increasing efficiency, and supporting revenue generation across Kiewit’s numerous markets. ML Engineers team up with business stakeholders, data engineers, web developers, and data analysts to create technology solutions for Kiewit’s most pressing opportunities. Our staff leads AI development at Kiewit - we are looking for a ML engineer with a passion for training models, finding insights in data, doing the software development required to make it work, and continually improving their skills. **District Overview** Kiewit Data Services is a full-service design and execution department for data and analytics solutions. Our combined staff has expertise that spans web development, data engineering, data science, MLOps, and project management. We are a highly collaborative and relatively flat organization, with projects utilizing the full breadth and depth of currently available AI tools. Working closely with business units to gather requirements, we then ideate, and pitch innovative products. Our growing team seeks to maintain best-in-class technical expertise, focused on efficiently delivering high-quality machine learning models to the business. We work in the domains of construction, engineering, procurement, safety and more. Come tackle a buffet of novel, high-stakes challenges that reshape how the entire industry builds. Join us at the intersection of AI leadership and real-world construction to create foundational and lasting impact, re-inventing how construction projects get built. **Location** This position is based out of our office in LaVista, NE.This position requires regular in office attendance. This position may offer relocation assistance. **Responsibilities** **Turn questions into prototypes** - Embed with business teams, frame problems, and spin up quick PoCs to prove feasibility. **Own the data flow** - Build & document pipelines that make data sources model-ready, and become the go-to expert on them. **Build the right models** - Pick approaches, craft features, test rigorously, and peer-review with fellow data scientists. **Ship & scale** - Wrap models in Python APIs, deploy via CI/CD, and integrate predictions into customer-facing apps. **Keep models honest** - Monitor drift and performance, retrain iteratively, and improve over time. **Make results stick** - Craft clear visuals, present to execs, and train stakeholders to use insights with confidence. **Qualifications** + Bachelors degree or higher in Engineering, Mathematics, Analytics, Statistics, Computer Science, Economics or related field; with a demonstrated interest in data analysis. Relevant experience can substitute for formal education. + 3 years or more real-world experience working in machine learning modeling. + Interest in employing machine learning to address opportunities in the construction and engineering industries. + Python experience required. + Clear, structured thinking and a high sense of ownership over your work. + Interest in employing machine learning to address opportunities in the construction and engineering industries. **Why Kiewit** + The scale of a Fortune 250 builder, the agility of a startup team. + Projects that turn dirt, steel, and data into safer, more profitable jobsites. + Flat, collaborative culture where the best idea wins. + Comprehensive benefits package that’s among the best in our industry, and generous paid time off. Other Requirements: + Regular, reliable attendance + Work productively and meet deadlines timely + Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment. + Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies. + Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required. + May work at various different locations and conditions may vary. We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off. Equal Opportunity Employer, including disability and protected veteran status. ​ Company: Kiewit