🛠 Tech Stack

💼 About This Role

You'll define and execute AI and optimization strategies for large-scale infrastructure operations, transforming complex operational data into intelligent systems. You'll collaborate with engineering teams to design scalable AI solutions and optimize real-world systems using advanced machine learning and data modeling techniques.

🎯 What You'll Do

• Design and maintain scalable data models and telemetry structures for AI/ML initiatives.
• Develop and deploy ML models for anomaly detection, predictive maintenance, and forecasting.
• Integrate AI capabilities into existing systems, workflows, and production environments.
• Monitor and improve model performance, reliability, and scalability in live settings.

📋 Requirements

• 3+ years of experience in AI/ML engineering or applied optimization.
• Strong expertise in Python and ML frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Proficiency in JavaScript or TypeScript within Node.js environments.
• Experience with time-series data architectures and pipelines.

✨ Nice to Have

• Familiarity with Docker and containerized deployment.
• Experience in industrial or telemetry-based AI systems.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration opportunities.
• 🔬 Innovative AI projects with real-world operational impact.
• 🚀 Career growth in a rapidly evolving industry.
• 🕒 Flexible and autonomous work environment.
• 🤝 Collaborative international team culture.

📨 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