🛠 Tech Stack

💼 About This Role

You'll design and deploy machine learning models for anomaly detection and predictive maintenance, optimizing large-scale infrastructure operations in a globally distributed remote team. You'll collaborate with engineering teams to integrate AI capabilities into production systems, driving automation and efficiency improvements. This role offers the chance to work on cutting-edge time-series data and IoT-style telemetry.

🎯 What You'll Do

• Define and execute AI/optimization strategies for operational efficiency.
• Design and maintain scalable data models and telemetry structures.
• Develop, deploy, and optimize machine learning models for anomaly detection.
• Integrate AI capabilities into existing workflows and production environments.

📋 Requirements

• 3+ years of experience in AI/ML engineering or related roles.
• Strong expertise in Python and frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Experience designing time-series data architectures and pipelines.
• Proficiency in Docker and containerized deployment environments.

✨ Nice to Have

• Experience with optimization techniques and predictive modeling.
• Familiarity with JavaScript or TypeScript within Node.js environments.
• Knowledge of production AI systems and model drift management.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration.
• 🤖 Cutting-edge AI projects with real-world operational impact.
• 🚀 Career growth in an innovation-driven industry.
• ⏰ Flexible work environment encouraging autonomy and creativity.

📨 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