🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services in a fully remote, global environment. You'll own end-to-end solutions for production-grade machine learning systems. This role offers autonomy and cutting-edge AI projects.

🎯 What You'll Do

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

📋 Requirements

• 3+ years of Python development
• 4+ years in machine learning or deep learning
• Experience with AWS cloud platforms
• Proven experience deploying ML models in production

✨ Nice to Have

• Familiarity with AWS SageMaker, Bedrock, or NVIDIA AI platforms
• Exposure to media, audio, video, or image processing

🎁 Benefits & Perks

• 💰 Competitive compensation with performance adjustments
• 🌍 Fully remote work with flexible scheduling
• 📚 Continuous learning and paid training opportunities
• 🏆 High-impact projects in a global team
• 🤝 Inclusive international culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min