🛠 Tech Stack

💼 About This Role

You'll design and deploy AI and optimization solutions for large-scale infrastructure operations, transforming complex operational data into intelligent systems. You'll collaborate with engineering teams to build scalable data models and production-grade ML models for anomaly detection and predictive maintenance.

🎯 What You'll Do

• Design data models and telemetry structures for AI initiatives.
• Develop ML models for anomaly detection and predictive maintenance.
• Integrate AI solutions into production systems and workflows.
• Monitor and improve model performance, reliability, and scalability.

📋 Requirements

• 3+ years of experience in AI/ML engineering or data science.
• Python expertise with PyTorch, TensorFlow, or Scikit-Learn.
• Experience with time-series data architectures and pipelines.
• Proficiency in Docker for containerized deployment.

✨ Nice to Have

• JavaScript or TypeScript in Node.js environments.
• Knowledge of optimization techniques and industrial AI systems.
• Experience with model drift management in production.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration.
• 🤖 Innovative AI projects with real-world impact.
• 🚀 Cutting-edge tech in ML, automation, and distributed systems.
• 🏢 Fast-paced international team culture.
• 📈 Career growth in an innovation-driven industry.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interview· 120 min