About TEGNA
TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news.
Position Overview
TEGNA is looking for a Senior AI/ML Engineer to design, build, and deploy machine learning solutions that power data-driven products and intelligent systems. The role involves developing scalable ML models, building automated ML pipelines, and integrating models into production systems operating at scale. The engineer will collaborate with data scientists, software engineers, and platform teams to develop reliable and production-ready AI solutions.
What Youll Do
- Design, develop, and deploy machine learning models for predictive analytics and optimization use cases.
- Build scalable model training and deployment pipelines using Amazon SageMaker.
- Develop end-to-end ML workflows including data preparation, feature engineering, model training, evaluation, and deployment.
- Automate model lifecycle management using Amazon SageMaker Pipelines.
- Integrate machine learning models with backend services and distributed applications.
- Monitor model performance, identify model drift, and retrain models as needed.
- Work closely with engineering teams to ensure ML systems are scalable, reliable, and maintainable.
- Mentor engineers and contribute to architectural decisions related to AI/ML systems.
What you bring
- Bachelors or Masters degree in computer science, Machine Learning, Data Science, or related field.
- 8+ years of overall software engineering experience.
- 3+ years of experience building machine learning models and AI systems.
- Strong programming skills in Python.
- Experience deploying ML models using Amazon SageMaker or similar platforms.
- Strong understanding of machine learning fundamentals including feature engineering, model evaluation, and model deployment.
- Experience working with large-scale data systems and cloud-based architectures.
Experience with ML frameworks such as:
- Scikit-learn
- XGBoost
- TensorFlow
- LightGBM
Preferred Qualification
- Experience building production ML pipelines and automated training workflows.
- Familiarity with ML lifecycle management tools.
- Experience with distributed data processing or large-scale data platforms.
- Knowledge of modern AI techniques such as deep learning,reinforcement learning, or optimization models.
- Experience building monitoring and observability for ML systems.
Why TEGNA
At TEGNA, our values guide everything we do. We Demand the Truth by delivering accurate, trusted information. We Work Smarter by finding better ways to solve problems and move quickly. We Do the Right Thing by holding ourselves to the highest standards. And We Win by working together to deliver results. If youre ready to grow
