🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and optimize real-world systems using advanced machine learning and data modeling techniques. You'll transform complex operational data into intelligent systems that drive automation and predictive insights across high-performance environments. This role combines strategic thinking with hands-on technical execution in a globally distributed remote environment using 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

• Bachelor’s or Master’s in Computer Science, Data Science, or related field
• 3+ years of experience in AI/ML engineering or applied optimization
• Python expertise and modern ML frameworks (PyTorch, TensorFlow, or Scikit-Learn)
• JavaScript or TypeScript proficiency in Node.js environments

✨ Nice to Have

• Experience with time-series data architectures and pipelines
• Familiarity with Docker and containerized deployment
• Experience with production AI systems and model drift handling

🎁 Benefits & Perks

• 🏠 100% remote work environment
• 💡 Cutting-edge AI & optimization projects
• 🌍 Global collaboration opportunities
• 🚀 Career growth in an innovation-driven industry
• 🕒 Flexible and autonomous work environment

📨 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