🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and optimization strategies to improve operational efficiency. Your work will focus on anomaly detection, predictive maintenance, and automation using time-series data. You'll collaborate with engineering teams to deploy production-grade ML models.

🎯 What You'll Do

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

📋 Requirements

• Python and ML frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• 3+ years in AI/ML engineering or applied optimization.
• Experience with time-series data pipelines and architectures.
• Proficiency in Docker and containerized deployment.

✨ Nice to Have

• JavaScript or TypeScript in Node.js environments.
• Experience with IoT or telemetry-based AI systems.
• Knowledge of optimization techniques and predictive modeling.

🎁 Benefits & Perks

• 🏠 100% remote work with global collaboration.
• 🚀 Innovative AI projects with real-world impact.
• 🔬 Cutting-edge tech in ML, automation, and distributed systems.
• 🌍 International team culture and career growth.
• ⏰ Flexible and autonomous work environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min