🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global environment. You'll contribute to high-performance systems using cloud-native architectures and modern AI frameworks. This role offers ownership of end-to-end solutions and the opportunity to work on mission-critical production applications.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines
• Build and optimize ML workflows including data preparation
• Deploy and support production-grade ML systems
• Develop vision-based AI solutions (object detection, segmentation)

📋 Requirements

• 3+ years in Python development
• 4+ years in machine learning or deep learning
• Cloud platforms (AWS) for ML pipelines
• Production deployment of ML models

✨ Nice to Have

• Experience with AWS SageMaker or Bedrock
• Media or image processing workflows

🎁 Benefits & Perks

• 💰 Competitive compensation with performance adjustments
• 🏠 Fully remote work with flexible scheduling
• 🤖 Cutting-edge AI tech stack exposure
• 📚 Continuous learning support and paid training
• 🌍 Global team collaboration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2-3 hours