🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable AI/ML services and pipelines in cloud environments, delivering production-grade machine learning systems. You'll drive end-to-end ownership of AI solutions, from research to deployment, and contribute to the development of high-performance AI/ML pipelines powering global applications.

🎯 What You'll Do

• Design, develop, and maintain scalable AI/ML services and pipelines.
• Build and optimize machine learning workflows including training and deployment.
• Contribute to R&D on emerging AI frameworks and models.
• Troubleshoot and resolve issues in production systems with end-to-end ownership.

📋 Requirements

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

• 🏖️ Fully remote work with flexible scheduling across global time zones.
• 📚 Continuous learning support including paid training opportunities.
• 🚀 Cutting-edge AI/ML technologies and challenging projects.
• 🌍 Global team with inclusive and diverse culture.
• 💰 Performance-based compensation adjustments.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2-4 hours