🛠 Tech Stack

💼 About This Role

You'll work at the intersection of AI, optimization, and large-scale infrastructure operations in a globally distributed remote environment. You'll design scalable AI solutions and optimize real-world systems using advanced machine learning and data modeling techniques. This role offers exposure to cutting-edge technologies like time-series data and production-grade AI deployment.

🎯 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

• At least 3 years of experience in AI/ML engineering or related roles.
• Strong expertise in Python and ML frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Proficiency in JavaScript or TypeScript within Node.js environments.
• Experience with Docker and containerized deployment environments.

✨ Nice to Have

• Experience designing large-scale, time-series-focused data architectures.
• Knowledge of optimization techniques and industrial AI systems.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration.
• 🤖 Innovative AI projects with real-world operational impact.
• 📈 Career growth in a fast-evolving industry.
• ⏰ Flexible autonomous environment encouraging creativity.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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