🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable machine learning systems in a fully remote, global environment. You'll build high-performance AI/ML pipelines and services for production-grade applications using cloud-native architectures and modern AI frameworks. This role offers hands-on ownership of end-to-end solutions in a cutting-edge domain.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments
• Build and optimize ML workflows including data preparation and model training
• Deploy and support production-grade machine learning systems with focus on reliability
• Develop vision-based AI solutions like object detection and image segmentation

📋 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 like AWS for building AI/ML pipelines
• Experience deploying machine learning models in production environments

✨ Nice to Have

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

🎁 Benefits & Perks

• 💵 Competitive compensation based on skills and performance
• 🏠 Fully remote work with flexible scheduling across global time zones
• 🔬 Cutting-edge technologies in AI, ML, and cloud
• 📚 Continuous learning support including paid training
• 🌍 International team culture with diverse collaboration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Take-Home Assignment· 1 week