🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and optimization strategies for large-scale infrastructure operations, collaborating with cross-functional teams to turn complex operational data into intelligent, automated systems. You'll deploy production-grade machine learning models for anomaly detection and predictive maintenance in a globally distributed remote environment.

🎯 What You'll Do

• Define and execute AI and optimization strategies for operational efficiency.
• Design and maintain scalable data models and telemetry structures.
• Develop and deploy ML models for anomaly detection and predictive maintenance.
• Integrate AI capabilities into existing systems and production environments.

📋 Requirements

• 3+ years experience in AI/ML engineering or data science.
• Python expertise with PyTorch, TensorFlow, or Scikit-Learn.
• JavaScript/TypeScript proficiency in Node.js environments.
• Experience with time-series data architectures and pipelines.

✨ Nice to Have

• Experience with Docker and containerized deployment.
• Familiarity with optimization techniques and industrial AI systems.
• Experience monitoring and maintaining production AI systems.

🎁 Benefits & Perks

• 🏖️ 100% remote work environment with global collaboration.
• 🔬 Cutting-edge AI projects with real-world operational impact.
• 📈 Career growth opportunities in innovation-driven industry.
• 🤝 Collaborative international team culture.
• ⏰ Flexible and autonomous work environment.

📨 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