🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable ML systems in a fully remote, global environment. You'll build production-grade AI/ML pipelines powering diverse applications. This role offers ownership of end-to-end solutions with cutting-edge AI frameworks.

🎯 What You'll Do

• Design and maintain scalable AI/ML services in cloud environments
• Build and optimize ML workflows from data to deployment
• Develop vision-based AI solutions like object detection
• Troubleshoot production systems with end-to-end ownership

📋 Requirements

• 3+ years of Python development
• 4+ years of machine learning/deep learning experience
• Experience with AWS for AI/ML pipelines
• Proven experience deploying ML models in production

✨ Nice to Have

• Familiarity with AWS SageMaker or Bedrock
• Media/audio/video processing experience

🎁 Benefits & Perks

• 🏖️ Fully remote work with flexible hours
• 💰 Competitive compensation with performance adjustments
• 📚 Continuous learning support including paid training
• 🌍 Global team with diverse culture
• ⚙️ Cutting-edge AI/ML projects

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screening· 30 min
2. 2Technical interview· 60 min
3. 3Team fit interview· 45 min