🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global team. You'll own end-to-end solutions from data preparation to production deployment, with opportunities to work on cutting-edge AI frameworks and production-grade machine learning systems.

🎯 What You'll Do

• Design and maintain scalable AI/ML services in cloud environments.
• Build and optimize ML pipelines for data preparation and model training.
• Deploy and support production-grade machine learning systems.
• Develop vision-based AI solutions including object detection and segmentation.

📋 Requirements

• 3+ years of hands-on Python development experience.
• 4+ years of experience in machine learning or deep learning.
• Strong experience with AWS cloud platforms for AI/ML pipelines.
• Proven experience training and 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

• 💻 Fully remote work with flexible scheduling.
• 🚀 Cutting-edge AI/ML technologies and projects.
• 📚 Continuous learning support and paid training.
• 🌍 Global team with diverse and inclusive culture.
• 🏆 Performance-based compensation adjustments.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min