Sr Machine Learning Engineer

This role joins a lean, high-impact Enterprise Analytics team focused on building and operationalizing machine learning solutions across a casino organization. The environment is highly hands-on, with the ML Engineer expected to design, build, deploy, and support production-grade ML solutions while partnering closely with Data Scientists and business stakeholders. The ideal candidate is comfortable owning projects end-to-end and thrives in an environment where initiative, communication, and independent problem-solving are critical.

• 5+ years of experience building, scaling, and deploying machine learning solutions and pipelines using Python, Databricks, GCP, Spark, Delta Lake, Kubernetes, CI/CD, and automated deployment workflows.
• Strong expertise in statistical and quantitative analysis, predictive modeling, anomaly detection, time-series forecasting, demand prediction, experimentation, A/B testing, online evaluation, and optimization algorithms.
• Proven experience managing the end-to-end ML lifecycle, including MLflow, feature stores, model registries, lineage tracking, model monitoring, drift detection, automated retraining, model rollout strategies, and governance in regulated environments.
• Advanced programming and machine learning expertise with Python, SQL, Spark, Pandas, TensorFlow, PyTorch, scikit-learn, hyperparameter optimization, experiment tracking, and scalable distributed computing architectures.
• Experience applying modern AI techniques, including foundation models, embeddings, vector databases, retrieval-augmented approaches, and generative AI, with the ability to translate business requirements into production-ready ML solutions.