AI/Machine Learning Engineer
About The Position
Were 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, youll work closely with our AI Steering Committee and cross-functional teams to turn high-impact use cases into production-ready ML systems. Youll be hands-on across the full ML lifecyclefeature engineering, model development, automated pipelines, deployment, and monitoringusing 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 Youll Do:
Requirements
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 37+ 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)
Responsibilities
- 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 NEPs AI strategy
Benefits
- Medical
- Dental
- Vision coverage
- Vacation Days
- Sick Days
- 401(k)
- Discount Programs
- Life Insurance
- Disability Insurance
- Employee Assistance Program
- Flexible Spending Account
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
