Machine Learning Engineer, 36724893

Cypress HCM is seeking a Machine Learning Engineer to join their Demand Planning team within the FinOps organization. This role focuses on designing and implementing AI/ML-driven forecasting models to predict infrastructure demand, collaborating with various teams to enhance forecasting accuracy and optimize capacity planning.

Responsibilities:

• Develop and deploy AI/ML forecasting models for long-range demand and supply planning
• Enhance accuracy by incorporating multi-metric inputs and hybrid cloud strategies
• Apply advanced techniques: ARIMA, Bayesian models, RNN, LSTM, and hybrid AI approaches
• Build POCs parallel to existing models to validate AI-driven forecasting improvements
• Segment customers using ML for tailored capacity solutions
• Run scenario-based forecasts to optimize scaling and utilization across service tiers
• Collaborate with hardware, infrastructure, and cloud analytics teams to create capacity roadmaps
• Automate workflows for forecasting, reporting, and analytics pipelines
• Own the end-to-end delivery of ML solutions: design, implementation, testing, and deployment
• Provide insights and reports to leadership on forecast variability and model performance

Requirements:

• Python coding
• ML- applied forecasting