AI/Machine Learning Engineer

Career Opportunities with NEP Group Inc. A great place to work. Current job opportunities are posted here as they become available. We’re seeking an AI / Machine Learning Engineer to help design, build, and deploy machine learning solutions that drive AI-powered decision-making across NEP Group. In this role, you’ll work closely with our AI Steering Committee and cross-functional teams to turn high-impact use cases into production-ready ML systems. You’ll be hands‑on across the full ML lifecycle—feature engineering, model development, automated pipelines, deployment, and monitoring—using a modern cloud‑based stack centered on Databricks, MLflow, and Delta Lake . Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote candidates in Eastern or Central time zones. What You’ll Do: Design, develop, and deploy machine learning models using Python, PySpark, Databricks ML, and Delta Lake Partner with business and technical stakeholders to identify and deliver impactful AI/ML use cases Build automated ML pipelines for model training, validation, and deployment Manage feature stores and continuously monitor model performance and reliability using MLflow Apply machine learning techniques to solve real business challenges and extract meaningful insights from data Optimize models and pipelines for scalability, performance, and cost efficiency Test, validate, and iterate on models to ensure accuracy and robustness Stay current with emerging AI/ML technologies and help advance NEP’s AI strategy What You’ll Do: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, with 3–7+ years in AI/ML, data science, or data engineering Strong hands‑on experience with Python, PySpark, distributed computing , and Databricks / Delta Lake Proven ability to design, train, and deploy production-grade machine learning models Solid foundation in statistics, mathematics, and machine learning algorithms Experience working in cloud environments (AWS, Azure, or GCP) Familiarity with MLOps best practices , including ML pipelines, model versioning, CI/CD, and performance monitoring Experience with governed data environments, data quality/drift monitoring , and advanced ML techniques (e.g., NLP, entity resolution, AI agents) Medical, Dental, and Vision coverage Vacation Days Sick Days 401(k) Discount Programs Life Insurance Disability Insurance Employee Assistance Program Flexible Spending Account You might not know our name, but you’ve probably seen our work – on stage, on screen or on the field. Our technology solutions and unique Global Production Ecosystem empower content creators and rights holders to tell their stories in breakthrough ways. We’ve supported some of the world’s most watched productions and live events in sports, entertainment, concerts, festivals, film, TV and more. For 40 years our clients have trusted us to deliver live production, live events, and virtual production solutions for them, anytime, anywhere. Put simply, we bring content to life. #J-18808-Ljbffr