🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in cloud environments for a global team. You'll build production-grade machine learning systems with end-to-end ownership. This fully remote role offers work with cutting-edge AI frameworks like LLMs and deep learning.

🎯 What You'll Do

• Design and maintain scalable AI/ML services in cloud environments
• Build and optimize ML workflows from data to deployment
• Deploy production-grade ML systems with focus on reliability
• Troubleshoot issues in mission-critical production environments

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive compensation with performance-based adjustments
• 🏠 Fully remote work with flexible scheduling
• 📚 Continuous learning support including paid training
• 🌍 Global team and international culture
• 🏆 Recognition and rewards based on performance

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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