🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global environment. You'll own end-to-end solutions for production-grade machine learning systems and contribute to cutting-edge AI research and development.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines
• Build and optimize machine learning workflows from data to deployment
• Deploy and support production-grade ML systems with reliability focus
• Develop vision-based AI solutions like object detection and segmentation

📋 Requirements

• 3+ years of Python development experience
• 4+ years in machine learning or deep learning systems
• Experience with AWS cloud platforms for AI/ML pipelines
• Proven track record 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 workflows

🎁 Benefits & Perks

• 💰 Competitive compensation with performance-based adjustments
• 🏠 Fully remote work with flexible global scheduling
• 🚀 Cutting-edge AI/ML tech exposure
• 📚 Continuous learning and paid training opportunities
• 🌍 International team culture

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Discussion· 45 min