🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global environment. You will contribute to production-grade machine learning systems using cloud-native architectures and modern AI frameworks. This role offers the opportunity to work on high-impact, mission-critical projects with an international team that values autonomy and innovation.

🎯 What You'll Do

• Design, develop, and maintain scalable AI/ML services and pipelines
• Build and optimize machine learning workflows from data prep to deployment
• Deploy and support production-grade ML systems with focus on reliability
• Troubleshoot and resolve issues in mission-critical production environments

📋 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, fine-tuning, and deploying ML models in 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 with performance-based adjustments
• 🏠 Fully remote work with flexible scheduling across global time zones
• 🤖 Cutting-edge AI/ML technologies exposure
• 📚 Continuous learning and professional development support
• 🌍 Global engineering environment with challenging projects

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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