🛠 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 power production-grade applications across diverse domains using cloud-native architectures and modern AI frameworks. This role offers the chance to build robust, intelligent systems at scale with an international engineering team.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines.
• Build and optimize ML workflows from data to deployment.
• Deploy and support production ML systems with reliability focus.
• Develop vision-based AI solutions (object detection, segmentation).

📋 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 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 with performance adjustments.
• 🏖️ Fully remote work with flexible scheduling across time zones.
• 🚀 Cutting-edge AI/ML and cloud technologies to work with.
• 📚 Continuous learning support including paid training.
• 🌍 Inclusive international team culture.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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