🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML pipelines using cloud-native architectures and modern frameworks like large language models and deep learning systems. You'll own end-to-end solutions in a fully remote, global team that values autonomy and innovation.

🎯 What You'll Do

• Design and maintain scalable AI/ML services in cloud environments
• Build and optimize machine learning workflows from data to deployment
• Develop vision-based AI solutions for object detection and segmentation
• Troubleshoot and resolve issues in production systems with end-to-end ownership

📋 Requirements

• 3+ years of hands-on experience in Python development
• 4+ years of experience in machine learning or deep learning
• Strong experience with cloud platforms (preferably AWS) for AI/ML pipelines
• Proven experience in training and deploying 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 scheduling across time zones
• 📚 Continuous learning and professional development support
• 🌍 Global team with inclusive and diverse culture
• 🔧 Cutting-edge AI/ML technologies and challenging projects

📨 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