🛠 Tech Stack

💼 About This Role

You'll design scalable AI solutions and optimize real-world operational systems using machine learning and data modeling. You'll collaborate with engineering teams to transform complex operational data into intelligent systems that drive automation and efficiency. This role offers the chance to work on cutting-edge AI deployment in high-performance environments.

🎯 What You'll Do

• Define and execute AI and optimization strategies.
• Design and maintain scalable data models and telemetry structures.
• Develop and deploy machine learning models for anomaly detection and automation.
• Integrate AI capabilities into existing systems and production environments.

📋 Requirements

• Bachelor's/Master's in CS, Data Science, or related field.
• At least 3 years of experience in AI/ML engineering or applied optimization.
• Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, Scikit-Learn).
• Experience with time-series data architectures and production AI systems.

✨ Nice to Have

• Proficiency in JavaScript/TypeScript in Node.js environments.
• Familiarity with Docker and containerized deployments.

🎁 Benefits & Perks

• 🌍 100% remote work with global collaboration.
• 🚀 Innovative AI projects with real-world operational impact.
• 🛠️ Cutting-edge technologies in ML, automation, and distributed systems.
• 🤝 Collaborative international team culture.
• 📈 Career growth opportunities in a fast-evolving industry.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical assessment· 1 hour
3. 3Final interview with team· 1 hour