🛠 Tech Stack

💼 About This Role

You'll design and deploy scalable AI/ML services and pipelines in a fully remote, global environment. You will build high-performance production-grade machine learning systems that power applications across diverse domains. This role offers the chance to work with cutting-edge AI frameworks and cloud-native architectures, owning end-to-end solutions.

🎯 What You'll Do

• Design, develop, and maintain scalable AI/ML services and pipelines.
• Build and optimize machine learning workflows from data to deployment.
• Deploy and support production-grade ML systems for reliability and performance.
• Develop vision-based AI solutions including object detection and 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.
• Proven experience 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

• 🏖️ Fully remote work with flexible scheduling.
• 💰 Competitive compensation with performance-based adjustments.
• 📚 Continuous learning support including paid training.
• 🌍 Global team culture with diverse, inclusive environment.
• 🔬 Cutting-edge tech exposure in AI, ML, and cloud.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min