🛠 Tech Stack

💼 About This Role

You'll lead ML engineering projects and mentor a team of engineers while building production-grade ML systems. Your technical decisions will shape scalable architectures and modern LLM applications.

🎯 What You'll Do

• Set technical direction and standards for ML projects
• Mentor junior and mid-level ML engineers (2-5 engineers)
• Contribute code to critical or complex components

📋 Requirements

• Deep ML expertise across multiple domains
• Production-grade ML systems experience
• Advanced AWS knowledge and cloud platforms
• Proficiency in TensorFlow, PyTorch, scikit-learn

✨ Nice to Have

• Experience with MLOps and ML infrastructure
• System design of distributed systems

🎁 Benefits & Perks

• 🏖️ Fully remote
• 🏥 Medical insurance
• 💰 Continuous learning support with unlimited AWS certification sponsorship

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Recruitment Interview· 30 min
2. 2Tech Interview· 60 min
3. 3HR Interview· 30 min
4. 4HM Interview· 45 min