AI Commercial & ML Ops Engineer

MGM Resorts International is seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines. The role involves partnering with various teams to ensure models are production-ready and operationalizing the full machine learning lifecycle while establishing best practices and governance frameworks.

Responsibilities:

• Design, build, and operate end-to-end machine learning and artificial intelligence pipelines supporting batch, streaming, and real-time inference use cases
• Automate the full machine learning lifecycle including ingestion, feature engineering, training, validation, deployment, monitoring, and retraining
• Implement CI/CD pipelines for machine learning systems with automated testing, validation gates, and controlled model promotion
• Develop orchestration workflows using tools such as Airflow, Kubeflow, and MLflow for experiment tracking and governance
• Optimize artificial intelligence workloads for performance, scalability, and cost efficiency using distributed compute and cloud-native services
• Establish monitoring and observability frameworks including performance metrics, data quality checks, drift detection, and bias monitoring
• Design automated retraining strategies including trigger-based, schedule-based, and performance-based refresh cycles
• Create repeatable prompting frameworks and artificial intelligence guardrails to support safe and effective AI-assisted development
• Implement access controls, secrets management, compliance standards, and security best practices across machine learning and artificial intelligence platforms
• Evaluate and operationalize emerging artificial intelligence technologies and vendor tools, identifying measurable business value
• Mentor engineers and data scientists on Machine Learning Operations best practices and influence enterprise-wide architectural standards

Requirements:

• 5+ years of prior relevant experience in machine learning or artificial intelligence engineering, Data Science, or Analytics Engineering
• Bachelor's degree in Computer Science, Data Engineering, or related field required
• Deep experience with machine learning and artificial intelligence pipeline development and full lifecycle automation
• Demonstrated ability to provide technical leadership in Machine Learning Operations strategies and pipeline standardization
• Proven impact on improving reliability, scalability, and efficiency of machine learning and artificial intelligence solutions
• Strong proficiency in Python and PySpark
• Experience designing and implementing CI/CD for machine learning workflows, including version control systems such as Git and DVC
• Experience with monitoring, logging, drift detection, and automated retraining frameworks
• Experience with cloud platforms such as Databricks, AWS, GCP, or Azure
• Proficiency in containerization and orchestration including Docker and Kubernetes
• Experience with orchestration and lifecycle management tools such as Airflow, Kubeflow, MLflow, or similar platforms
• Experience guiding teams on artificial intelligence automation best practices
• Experience supporting marketing, revenue, or operations analytics teams preferred
• Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks preferred