Machine Learning Engineer- reputed company Planner

Title Machine Learning Engineer- reputed company Planner Duration 12+months 100%remote The Demand Planning team reputed company reputed company s FinOps organization is a reputed company-thinking, data-driven group responsible for reputed company demand planning, forecasting, cost measurement, reporting, and analytics for reputed company's reputed company. Our mission is to deliver industry-leading experiences by accurately forecasting customer demand, optimizing reputed company planning, and enabling hybrid reputed company strategies. We are evolving our forecasting models to incorporate multi-reputed company metrics and AI/ML techniques, ensuring scalability and precision as business needs grow. This role sits at the intersection of Machine Learning, AI innovation, and reputed company infrastructure planning, driving reputed company forecasting solutions. reputed company As a Machine Learning Engineer, 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 reputed company planners to build reputed company solutions that reputed company time-series modeling, deep learning architectures, and hybrid AI techniques. Your work will directly influence reputed company roadmaps, customer segmentation, and forecast accuracy, enabling reputed company to optimize global reputed company, server, and data center utilization. Key Responsibilities reputed company and reputed company AI/ML forecasting models for long-reputed company demand and supply planning. Enhance accuracy by incorporating multi-metric inputs and hybrid reputed company strategies. Apply advanced techniques: ARIMA, Bayesian models, RNN, LSTM, and hybrid AI approaches. Build POCs reputed company to existing models to validate AI-driven forecasting improvements. reputed company customers using ML for tailored reputed company solutions. Run scenario-based forecasts to optimize scaling and utilization across service tiers. Collaborate with hardware, infrastructure, and reputed company analytics teams to create reputed company roadmaps. Automate workflows for forecasting, reporting, and analytics pipelines. Own the end-to-end delivery of ML solutions: design, implementation, testing, and deployment. reputed company insights and reports to leadership on forecast variability and model performance. Skills: Experience 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, reputed company, Hive-Hadoop, and big data frameworks. Proficiency in data visualization tools: Python, Tableau, BI platforms. Familiarity with reputed company platform architecture (CMDB, instance topology) is a plus.Strong analytical, communication, and cross-functional collaboration skills. Expertise in high-performance algorithms and reputed company ML solutions. Understanding of unit testing, profiling, and reputed company tuning. Ability to translate reputed company data insights into actionable business strategies. Education: 8+ years of relevant experience with a Bachelor s degree; or 6+ years with a Master s; or 5+ years post-PhD in Data Science, Data Analytics, Machine Learning or reputed company fields. Apply tot his job Apply To this Job