AI Commercial & ML Ops Engineer
Core
Design, implement, and optimize scalable machine learning and AI deployment pipelines to power real-world business impact for MGM Resorts.
Role type
Senior IC Machine Learning Operations Engineer
Builds
Production-ready, performant, and scalable ML/AI systems across cloud platforms
Domain
Hospitality / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, PySpark, CI/CD for ML, drift detection, automated retraining, containerization, Kubernetes, Airflow, Kubeflow, MLflow, cloud platforms (Databricks, AWS, GCP, Azure), distributed compute
Preferred skills
Marketing/revenue analytics support, TensorFlow, PyTorch, Scikit-learn
Technologies
Docker, Kubernetes, Airflow, Kubeflow, MLflow, Databricks, AWS, GCP, Azure, Git, DVC
Responsibilities
Design end-to-end ML/AI pipelines for batch, streaming, and real-time inference; Automate full ML lifecycle from ingestion to retraining; Implement CI/CD pipelines with automated testing and model promotion; Develop orchestration workflows for experiment tracking and governance; Optimize AI workloads for performance, scalability, and cost; Establish monitoring frameworks for metrics, data quality, and bias; Design automated retraining strategies; Create AI guardrails and prompting frameworks; Implement security and compliance standards; Mentor engineers on ML Ops best practices
Seniority
Senior, hands-on IC with strategic influence