🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and ML models to optimize large-scale infrastructure operations using time-series data and telemetry. You'll collaborate with engineering teams to deploy production-grade AI systems driving automation and predictive insights.

🎯 What You'll Do

• Define and execute AI strategies to improve operational efficiency
• Design and maintain scalable data models for ML initiatives
• Develop and deploy models for anomaly detection and predictive maintenance
• Integrate AI capabilities into existing systems and workflows

📋 Requirements

• Bachelor's/Master's in Computer Science or related field
• At least 3 years experience in AI/ML engineering
• Strong expertise in Python and ML frameworks (PyTorch, TensorFlow)
• Experience with time-series data architectures and pipelines

✨ Nice to Have

• Proficiency in JavaScript or TypeScript in Node.js
• Experience with Docker and containerized deployment

🎁 Benefits & Perks

• 🏖️ 100% remote work
• 🚀 Innovative AI projects with real-world impact
• 🌍 Global collaboration in distributed teams
• 📈 Career growth in fast-paced environment
• 🔄 Flexible and autonomous work culture

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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