🛠 Tech Stack

💼 About This Role

You'll design and implement end-to-end ML solutions from experimentation to production, building scalable ML pipelines and infrastructure on AWS. You'll mentor junior engineers and collaborate with cross-functional teams to drive AI transformations.

🎯 What You'll Do

• Design and implement end-to-end ML solutions from experimentation to production
• Build scalable ML pipelines and infrastructure
• Optimize model performance, efficiency, and reliability
• Write clean, maintainable, production-quality code

📋 Requirements

• Python advanced proficiency for ML applications
• Strong experience with AWS ML services (SageMaker, Lambda, etc.)
• Experience building production LLM-based applications
• Experience building RAG architectures with vector databases

✨ Nice to Have

• Experience with Spark or Dask
• Experience with deep learning models
• Experience with taxonomies or ontologies

🎁 Benefits & Perks

• 🏖️ Fully remote setup
• 🏥 Medical insurance budget
• 📚 Continuous learning support including AWS certification sponsorship
• 💸 Paid sick leave, vacation, public holidays

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Recruitment Interview· 30-60 min
2. 2Tech Interview· 60-90 min
3. 3HR Interview· 30-60 min
4. 4HM Interview· 30-60 min