🛠 Tech Stack

💼 About This Role

You'll design, develop, and maintain scalable AI/ML services and pipelines for production-grade applications. You'll own end-to-end solutions, from data preparation to deployment, working on mission-critical systems with modern frameworks. This fully remote role offers hands-on problem solving with cutting-edge technologies in a global team.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments
• Build and optimize ML workflows including training, validation, and deployment
• Deploy and support production-grade ML systems with focus on reliability and performance
• Develop vision-based AI solutions such as object detection and image segmentation

📋 Requirements

• 3+ years of hands-on Python development
• 4+ years in ML, deep learning, or LLM-based systems
• AWS experience for building and deploying AI/ML pipelines
• Experience training and deploying machine learning 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 time zones
• 📚 Continuous learning support including paid training
• 🌍 Global team environment with diverse and inclusive culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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