🛠 Tech Stack

💼 About This Role

You'll work at the intersection of AI, optimization, and large-scale infrastructure operations within a globally distributed remote environment. You'll transform complex operational data into intelligent systems that drive automation and predictive insights for high-performance environments. This role offers the chance to work on cutting-edge technologies involving time-series data and production-grade AI deployment.

🎯 What You'll Do

• Define AI and optimization strategies for operational efficiency
• Design scalable data models and telemetry structures for ML initiatives
• Develop ML models for anomaly detection and predictive maintenance
• Integrate AI capabilities into existing systems and workflows

📋 Requirements

• Bachelor's or Master's in Computer Science or related field
• 3+ years experience in AI/ML engineering or applied optimization
• Python expertise with PyTorch, TensorFlow, or Scikit-Learn
• Docker and containerized deployment experience

✨ Nice to Have

• JavaScript or TypeScript in Node.js environments
• Experience with time-series data architectures
• Industrial or telemetry-based AI systems knowledge

🎁 Benefits & Perks

• 🏠 100% remote work with global collaboration
• 🚀 Innovative AI projects with real-world impact
• 🔬 Cutting-edge technologies in ML and automation
• 🌍 Collaborative international team culture
• 📈 Career growth in innovation-driven industry

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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