🛠 Tech Stack

💼 About This Role

You'll define and execute AI strategies for operational efficiency and deploy machine learning models for anomaly detection and predictive maintenance. Collaborate with engineering teams to integrate AI into production environments, driving automation and performance improvements. This role offers the chance to design scalable AI solutions using time-series data and IoT-style telemetry 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

• At least 3 years of AI/ML engineering or data science experience
• 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 with time-series data architectures
• Familiarity with optimization techniques or industrial AI systems
• Knowledge of model deployment and monitoring in production

🎁 Benefits & Perks

• 🏠 100% remote work
• 🚀 Innovative AI projects with real-world impact
• 💻 Cutting-edge technologies in ML and automation
• 🌍 Global collaboration in a distributed team
• 📈 Career growth in a fast-paced environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min