🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global environment. Your work will directly impact production-grade applications across diverse domains. You'll join an international team that values autonomy and innovation on mission-critical systems.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments.
• Build and optimize machine learning workflows from data preparation to deployment.
• Deploy and support production-grade ML systems with focus on reliability and performance.
• Develop vision-based AI solutions including object detection and image segmentation.

📋 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 AI/ML pipelines.
• Experience training, fine-tuning, and deploying ML 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

• 🏖️ Fully remote work with flexible scheduling across global time zones.
• 💰 Competitive compensation with performance-based adjustments.
• 📚 Continuous learning support including paid training opportunities.
• 🌍 International team and inclusive culture.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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