🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in cloud environments as part of a global remote team. Your core impact will be building production-grade machine learning systems that power diverse applications. This role offers ownership of end-to-end solutions and experimentation 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 preparation to deployment
• Develop vision-based AI solutions including object detection
• Troubleshoot and resolve issues in production systems

📋 Requirements

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

✨ Nice to Have

• Familiarity with AWS SageMaker or Bedrock
• Exposure to media processing workflows

🎁 Benefits & Perks

• 💰 Competitive compensation with performance-based adjustments
• 🏖️ Fully remote work with flexible scheduling
• 📚 Continuous learning and professional development support
• 🌍 Global engineering environment with diverse team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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