🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote environment. You'll contribute to production-grade machine learning systems and cloud-native architectures using modern AI frameworks. This role offers ownership of end-to-end solutions in an international team.

🎯 What You'll Do

• Design and maintain scalable AI/ML services on cloud platforms
• Build and optimize machine learning workflows from data to deployment
• Research and integrate emerging AI frameworks and models
• Deploy and support production-grade ML systems with reliability focus

📋 Requirements

• 3+ years of hands-on Python development experience
• 4+ years in machine learning, deep learning, or LLMs
• Cloud platform experience (preferably AWS) for ML pipelines
• Proven experience in training and deploying 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

• 🏖️ Remote work with flexible global scheduling
• 📚 Continuous learning support including paid training
• 🚀 Cutting-edge tech exposure (AI, ML, cloud)
• 🌍 International team 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 Interview· 45 min