Your Responsibilities:

• Develop time series forecasting models for autoscaling predictions
• Build algorithms for dynamic resource allocation
• Design and deploy scalable ML pipelines for real-time cloud management
• Implement MLOps strategies for continuous model monitoring and retraining
• Work with large-scale data streams to drive automation and insights

What You Bring

• Expertise in time series modeling and forecasting techniques
• Strong Python skills with experience in ML frameworks
• Experience in reinforcement learning and optimization methods
• Familiarity with containerization and cloud-native ML deployment
• Knowledge of real-time data processing and streaming architectures

Perks & Benefits

• Competitive salary and performance-based incentives
• Remote-first work environment with flexible hours
• Opportunity to work on technically challenging problems in cloud infrastructure
• Direct impact on product direction and technical strategy
• A fast-paced, no-bureaucracy startup culture

Why Join Valuematic?

• Build AI-driven autoscaling solutions for global cloud providers
• Work on real-time, high-impact optimization challenges
• Be part of an innovative start-up defining the future of cloud computing