🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML systems in a fully remote, global environment. You'll build high-performance pipelines using cloud-native architectures and modern AI frameworks, including large language models. This role offers end-to-end ownership of production-grade solutions.

🎯 What You'll Do

• Design and maintain scalable AI/ML services in cloud environments.
• Build and optimize ML workflows from data preparation to deployment.
• Develop vision-based AI solutions like object detection and segmentation.
• Troubleshoot production systems with end-to-end ownership mindset.

📋 Requirements

• 3+ years of hands-on Python development.
• 4+ years in machine learning, deep learning, or LLM systems.
• Cloud platform experience (preferably AWS) for AI/ML pipelines.
• Computer vision expertise in object detection, segmentation, or classification.

✨ Nice to Have

• Familiarity with AWS SageMaker, 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 global time zones.
• 📚 Continuous learning support including paid training opportunities.
• 🌍 Exposure to high-impact projects in a global engineering environment.
• 🤝 Inclusive and diverse international team culture.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Final interview· 60 min