🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in cloud-native architectures using modern frameworks like large language models. You'll own end-to-end solutions for production-grade applications in a fully remote, global team.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in the cloud.
• Build and optimize ML training, validation, and deployment workflows.
• Deploy and support production-grade machine learning systems.
• Troubleshoot issues in mission-critical production environments.

📋 Requirements

• 3+ years of hands-on Python development experience.
• 4+ years of experience in machine learning or deep learning.
• Experience with AWS for building and deploying AI/ML pipelines.
• 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 workflows.

🎁 Benefits & Perks

• 💰 Competitive compensation with performance-based adjustments.
• 🏠 Fully remote work with flexible hours across time zones.
• 📚 Continuous learning support including paid training.
• 🌍 Global team with diverse, inclusive culture.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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