Were seeking an AI / Machine Learning Engineer to help design build and deploy machine learning solutions that drive AI-powered decision-making across NEP 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:
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
What Youll Do:
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)
Benefits
- 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 youve 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. Weve supported some of the worlds 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.
Check us out at
Required Experience:
IC
Were seeking an AI / Machine Learning Engineer to help design build and deploy machine learning solutions that drive AI-powered decision-making across NEP this role youll work closely with our AI Steering Committee and cross-functional teams to turn high-impact use cases into production-ready ML sy...
Were seeking an AI / Machine Learning Engineer to help design build and deploy machine learning solutions that drive AI-powered decision-making across NEP 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:
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
What Youll Do:
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)
Benefits
- 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 youve 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. Weve supported some of the worlds 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.
Check us out at
Required Experience:
IC
View more
View less