🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable ML systems in a fully remote, global environment, working with cloud-native architectures and modern AI frameworks. You'll own end-to-end solutions for production-grade applications across diverse domains.

🎯 What You'll Do

• Design, develop, and maintain scalable AI/ML services and pipelines
• Build and optimize ML workflows for training, validation, and deployment
• Develop vision-based AI solutions including object detection and classification
• Troubleshoot and resolve issues in production environments

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive compensation based on skills and experience
• 🏡 Fully remote work with flexible scheduling
• 📚 Continuous learning support including paid training
• 🌍 Global team exposure to challenging projects
• 🏆 Performance-based rewards and recognition

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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