🛠 Tech Stack

💼 About This Role

You'll lead a team of engineers developing and deploying GenAI solutions on AWS, driving end-to-end AI transformations. Your work will directly impact scalable ML infrastructure for industries like healthcare, retail, and media.

🎯 What You'll Do

• Set technical direction and standards for ML projects
• Mentor junior and mid-level ML engineers
• Contribute code to critical or complex components
• Troubleshoot complex technical challenges

📋 Requirements

• Deep ML expertise across multiple domains
• Experience building production-grade ML systems
• Advanced AWS experience
• Experience with LLM-based applications and RAG

✨ Nice to Have

• Familiarity with other cloud platforms
• Experience with data engineering pipelines

🎁 Benefits & Perks

• 🏖️ Fully remote setup
• 🏥 Medical insurance budget
• 💰 Paid sick leave, vacation, public holidays
• 📚 Continuous learning support with 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