🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote global environment. Your core impact is building production-grade machine learning systems with an end-to-end ownership mindset. This role offers the chance to work with cloud-native architectures and modern AI frameworks.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in the cloud.
• Build and optimize machine learning workflows from data to deployment.
• Contribute to R&D on emerging AI frameworks and models.
• Troubleshoot and resolve issues in production systems.

📋 Requirements

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

• 💰 Competitive compensation based on skills and experience.
• 🏖️ Fully remote work with flexible scheduling.
• 📚 Continuous learning support including paid training.
• 🌍 Global engineering team with diverse culture.
• 🎯 Challenging projects with cutting-edge AI/ML technologies.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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