🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote global environment, working on production-grade systems with modern frameworks like LLMs and deep learning. You'll contribute to high-impact, mission-critical solutions with ownership over end-to-end delivery.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments.
• Build and optimize ML workflows from data prep to deployment.
• Contribute to R&D on emerging AI frameworks and models.
• Troubleshoot and resolve issues in production ML systems.

📋 Requirements

• 3+ years of Python development experience.
• 4+ years in machine learning or deep learning systems.
• Experience with cloud platforms (preferably AWS) for AI/ML pipelines.
• Proven experience 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.
• 📚 Continuous learning support including paid training.
• 🌍 Global team and challenging projects.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Application· 5 min
2. 2Recruiter Screening· 30 min
3. 3Technical Interview· 60 min