🛠 Tech Stack

💼 About This Role

You'll work at the intersection of AI, optimization, and large-scale infrastructure operations to transform complex operational data into intelligent systems. You'll drive automation, predictive insights, and efficiency improvements using advanced machine learning and data modeling techniques. This remote role offers the chance to impact high-performance environments with cutting-edge 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 for AI/ML.
• Develop and deploy ML models for anomaly detection and predictive maintenance.
• Collaborate with engineering teams to integrate AI into production systems.

📋 Requirements

• 3+ years in AI/ML engineering or applied optimization roles.
• Python expertise with PyTorch, TensorFlow, or Scikit-Learn.
• Experience with time-series data architectures and pipelines.
• Solid understanding of optimization techniques and anomaly detection.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration.
• 🚀 Cutting-edge AI projects with real-world impact.
• 🤝 Fast-paced, collaborative international team culture.
• 📈 Career growth in an innovation-driven industry.
• ⏰ Flexible and autonomous work environment.

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min