🛠 Tech Stack

💼 About This Role

You'll work at the intersection of artificial intelligence and optimization within a globally distributed remote environment, transforming operational data into intelligent systems that drive automation and predictive insights. You'll collaborate with engineering and operational teams to design scalable AI solutions for high-performance environments using time-series data and production-grade AI. This role offers the chance to apply cutting-edge ML to real-world infrastructure challenges.

🎯 What You'll Do

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

📋 Requirements

• Bachelor's degree in Computer Science, Data Science, or related field.
• At least 3 years of experience in AI/ML engineering or data science.
• Strong expertise in Python and ML frameworks like PyTorch or TensorFlow.
• Experience with time-series data architectures and pipelines.

✨ Nice to Have

• Proficiency in JavaScript or TypeScript in Node.js environments.
• Familiarity with Docker and containerized deployment.
• Experience deploying production AI systems with model drift monitoring.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration
• 🛠️ Cutting-edge AI projects with real-world impact
• 📈 Career growth in innovation-driven industry
• 🏖️ Flexible autonomous environment
• 🤝 International team culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview· 45 min