🛠 Tech Stack

💼 About This Role

You'll design and deploy AI and optimization solutions for large-scale infrastructure operations in a globally distributed remote environment. Collaborate with engineering and data teams to transform complex operational data into intelligent systems that drive automation and predictive insights. You'll work on cutting-edge technologies involving 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 workflows.
• Monitor and improve model performance in live operational settings.

📋 Requirements

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

✨ Nice to Have

• JavaScript or TypeScript in Node.js environments.
• Experience with optimization techniques and telemetry-based AI systems.
• Strong English communication skills.

🎁 Benefits & Perks

• 🌍 100% Remote work environment.
• 🤖 Innovative AI projects with real-world impact.
• 📈 Career growth in a fast-paced industry.
• 🕒 Flexible and autonomous work culture.
• 🌐 Global collaboration with skilled professionals.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30-45 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min