🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI solutions for anomaly detection and predictive maintenance in high-performance infrastructure. This role combines applied machine learning with optimization to drive automation and efficiency in globally distributed systems.

🎯 What You'll Do

• Define and execute AI strategies for operational efficiency
• Develop ML models for anomaly detection and predictive maintenance
• Integrate AI capabilities into existing systems and APIs
• Optimize model performance and scalability in production

📋 Requirements

• 3+ years in AI/ML engineering or applied optimization
• Python expertise with PyTorch, TensorFlow, or Scikit-Learn
• Experience with time-series data architectures and pipelines
• Familiarity with Docker for containerized deployment

✨ Nice to Have

• JavaScript or TypeScript in Node.js environments
• Background in industrial or telemetry-based AI systems

🎁 Benefits & Perks

• 🌍 100% Remote work environment
• ⚙️ Cutting-edge AI projects with real-world impact
• 📈 Career growth in innovation-driven industry
• 🕒 Flexible and autonomous work culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min