🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable machine learning systems in a fully remote, global environment. You'll build high-performance AI/ML pipelines for production-grade applications. This role offers ownership of end-to-end solutions and hands-on work with large language models.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines.
• Build and optimize ML workflows from data preparation to deployment.
• Contribute to research on emerging AI frameworks and models.
• Deploy and support production-grade ML systems.
• Develop vision-based AI solutions like object detection.

📋 Requirements

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

✨ Nice to Have

• Familiarity with AWS SageMaker or AWS Bedrock.
• Exposure to media or image processing workflows.

🎁 Benefits & Perks

• 💰 Competitive compensation with performance-based adjustments.
• 🏠 Fully remote work with flexible scheduling.
• 🧠 Continuous learning support including paid training.
• 🌍 Global team exposure and international projects.
• 🎯 Long-term engagement with meaningful work.

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-Home Assignment· 2 hours