🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and optimize real-world systems using machine learning and data modeling techniques. You'll collaborate with engineering teams to integrate AI capabilities into production environments, driving automation and predictive insights across high-performance infrastructure. This role offers exposure to cutting-edge technologies in time-series data and IoT telemetry.

🎯 What You'll Do

• Define and execute AI and optimization strategies for operational efficiency.
• Design and maintain scalable data models and telemetry structures.
• Develop, deploy, and optimize ML models for anomaly detection and predictive maintenance.
• Monitor and improve model performance, reliability, and scalability in production.

📋 Requirements

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• 3+ years experience in AI/ML engineering, applied optimization, or data science.
• Python expertise with frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Experience with time-series data architectures and pipelines.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏠 100% remote work with global collaboration
• 🤝 Innovative AI projects with real-world impact
• 🚀 Exposure to cutting-edge technologies
• 🌍 International team culture
• 📈 Career growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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