Nexstar is seeking an AI/ML Engineer to design, build, and deploy machine learning and agentic AI systems. The role involves the full ML lifecycle, from data preparation to deployment and monitoring, with opportunities to work on both classical ML and advanced agentic architectures. The ideal candidate has 2-5 years of hands-on ML engineering experience and proficiency in Python, cloud platforms (GCP/AWS), and containerization.
Responsibilities
End-to-end model development and deployment for production use cases
Building, tuning, and evaluating agentic AI frameworks for connected, multi-step applications
Ownership of the full model lifecycle, including training, evaluation, containerization, deployment and monitoring
Maintaining cloud-based ML infrastructure on GCP or AWS
Writing clean, well-tested Python code and contributing to shared libraries
Collaborating with product, data engineering, and analytics teams to translate business problems into ML solutions
Staying up to date with current ML/AI research and advocating for the adoption of new techniques
Requirements
Bachelor's degree required (Math, Statistics, Computer Science, or Information Systems preferred)
2-5 years of hands-on ML engineering experience in a professional setting
Strong Python proficiency with production-quality coding standards