🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable AI/ML services and pipelines in cloud-based environments. Your work will focus on developing production-grade machine learning systems and deploying vision-based AI solutions like object detection and segmentation. This role offers fully remote work with cutting-edge AI technologies.

🎯 What You'll Do

• Design and maintain scalable AI/ML services and pipelines in cloud environments
• Build and optimize ML workflows including data preparation and model deployment
• Deploy and support production-grade machine learning systems with reliability focus
• Develop vision-based AI solutions such as 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 large language model systems
• Strong experience with cloud platforms (preferably AWS) for AI/ML pipelines
• Proven experience in training, fine-tuning, testing, 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

• 💰 Competitive compensation with performance-based adjustments
• 🏡 Fully remote work with flexible scheduling
• 📚 Continuous learning support including paid training
• 🔬 Cutting-edge AI and cloud technologies
• 🌍 International and inclusive team culture

📨 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