🛠 Tech Stack

💼 About This Role

You'll lead the development of GenAI solutions using Large Language Models and AWS Cloud services. You'll oversee a team of engineers to deliver production ML systems at scale while driving end-to-end AI transformations across industries.

🎯 What You'll Do

• Set technical direction and standards for ML projects
• Mentor junior and mid-level ML engineers (2-5 engineers)
• Contribute code to critical components and build POCs
• Architect scalable, maintainable ML systems

📋 Requirements

• Deep ML expertise across multiple domains
• Production ML experience building production-grade systems
• AWS advanced experience with cloud platforms
• Code quality: exemplary coding standards

✨ Nice to Have

• Experience with RAG and LLM-based applications
• Familiarity with multiple ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Data engineering knowledge

🎁 Benefits & Perks

• 🏖️ Long-term B2B collaboration
• 🏠 Fully remote setup
• 🏥 Medical insurance budget
• 💰 Paid sick leave, vacation, public holidays
• 📚 Continuous learning support including unlimited AWS certification sponsorship

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Recruitment Interview· 45 min
2. 2Tech interview· 60 min
3. 3HR Interview· 30 min
4. 4HM Interview· 45 min