🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable AI/ML services and pipelines in cloud environments, working with large language models and deep learning systems at production scale. You'll own end-to-end solutions and contribute to high-impact, mission-critical applications.

🎯 What You'll Do

• Design scalable AI/ML services and pipelines
• Build and optimize ML workflows for data preparation and deployment
• Develop vision-based AI solutions (object detection, segmentation)
• Troubleshoot and resolve issues in production systems

📋 Requirements

• 3+ years Python development
• 4+ years ML/deep learning/LLM experience
• Cloud platform experience (preferably AWS)
• Production model training and deployment experience

✨ 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 adjustments
• 🏠 Fully remote work with flexible hours
• 📚 Continuous learning and paid training
• 🌍 Global team exposure and high-impact projects
• 🏆 Performance-based rewards and recognition

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min