🛠 Tech Stack

💼 About This Role

You'll design and deploy machine learning models for anomaly detection and predictive maintenance in large-scale infrastructure. You'll collaborate with engineering teams to integrate AI into production systems, driving automation and efficiency. This 100% remote role offers exposure to cutting-edge technologies in a globally distributed team.

🎯 What You'll Do

• Define and execute AI and optimization strategies
• Design and maintain scalable data models and telemetry structures
• Develop and deploy ML models for anomaly detection and predictive maintenance
• Collaborate with engineering to integrate AI into existing systems

📋 Requirements

• 3+ years of experience in AI/ML engineering or applied optimization
• Python and ML frameworks like PyTorch, TensorFlow, or Scikit-Learn
• Proficiency in JavaScript or TypeScript within Node.js environments
• Experience with time-series data architectures and Docker

✨ Nice to Have

• Experience with industrial or telemetry-based AI systems
• Familiarity with production AI monitoring and model drift handling
• Strong analytical thinking in distributed teams

🎁 Benefits & Perks

• 🏠 100% remote work with global collaboration
• 🚀 Innovative AI projects with real-world impact
• 🛠️ Cutting-edge tech stack in ML and automation
• 🌍 International team culture and flexible environment
• 📈 Career growth in a fast-evolving industry

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Final round with team lead· 45 min