🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable machine learning systems and cloud-native AI/ML pipelines for production-grade applications. You'll own end-to-end solutions in a fully remote, global team that values innovation and autonomy.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments
• Build and optimize ML workflows including data preparation, training, and deployment
• Develop vision-based AI solutions for object detection and image segmentation
• Troubleshoot and resolve issues in production mission-critical systems

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive compensation based on skills and experience
• 🏠 Fully remote work with flexible scheduling across global time zones
• 📚 Continuous learning support including paid training opportunities
• 🌍 International team culture with inclusive and diverse environment

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Initial Screening· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min