🛠 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 and services powering production applications. This role offers the chance to work with cloud-native architectures and modern AI frameworks.

🎯 What You'll Do

• Design, develop, and maintain scalable AI/ML services and pipelines in cloud environments
• Build and optimize ML workflows including data preparation, training, and deployment
• Develop vision-based AI solutions such as object detection and image segmentation
• Troubleshoot and resolve issues in mission-critical production environments

📋 Requirements

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

✨ Nice to Have

• Familiarity with AWS SageMaker, AWS 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
• 🌍 International team culture with inclusive environment

📨 Hiring Process

Estimated timeline: 1-3 weeks · AI estimate

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