🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML pipelines in a fully remote, global environment. You'll build production-grade machine learning systems with end-to-end ownership. This role offers the chance to work with cutting-edge AI frameworks like LLMs and deep learning.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines.
• Build and optimize ML workflows from data to deployment.
• Develop vision-based AI solutions (object detection, segmentation).
• Troubleshoot and resolve issues in production environments.

📋 Requirements

• 3+ years of hands-on Python development.
• 4+ years in machine learning or deep learning.
• Experience with cloud platforms (preferably AWS).
• Proven experience deploying ML models to production.

✨ Nice to Have

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

🎁 Benefits & Perks

• 💻 Fully remote work with flexible scheduling.
• 📚 Continuous learning support and paid training.
• 🚀 Cutting-edge AI/ML technologies and projects.
• 🌍 Global team with 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