Senior Machine Learning Engineer – Capacity Forecasting (Remote)

We are looking for a Senior Machine Learning Engineer for a large, global B2B high-tech company. In this role, you will design and implement advanced AI/ML-driven forecasting models to predict infrastructure demand across hybrid environments. You’ll collaborate with data scientists, engineers, and capacity planners to build scalable solutions that integrate time-series modeling, deep learning architectures, and hybrid AI techniques. This is a 12-month contract (Extension possible). 40 hours per week remote role in the US. This is a W2 employee of Stage 4 Solutions. Health benefits and 401K are offered. 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 • 8+ years of experience in integrating AI into forecasting and decision-making workflows. • Strong programming skills in Python and Java; expertise in object-oriented design and algorithm optimization. • Deep knowledge of AI/ML techniques: time-series modeling, regression, Bayesian forecasting, econometrics. • Hands-on experience with TensorFlow, PyTorch, Spark, Hive-Hadoop, and big data frameworks. • Proficiency in data visualization tools: Python, Tableau, BI platforms. • Familiarity with ServiceNow platform architecture (CMDB, instance topology) is a plus. • Strong analytical, communication, and cross-functional collaboration skills. • Expertise in high-performance algorithms and scalable ML solutions. • Understanding of unit testing, profiling, and code tuning. • Ability to translate complex data insights into actionable business strategies. • Bachelor’s degree. Please submit your resume to our network at https://www.stage4solutions.com/careers/ (apply to the Senior Machine Learning Engineer – Capacity Forecasting (Remote) role). Please feel free to forward this job post to others you think may be interested. Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates’ qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic Compensation: $120/hr - $125/hr