🛠 Tech Stack

💼 About This Role

You'll design and implement end-to-end ML solutions and build scalable ML pipelines for production. Collaborate with cross-functional teams to optimize model performance and drive innovation.

🎯 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
• Mentor junior and mid-level ML engineers

📋 Requirements

• Advanced proficiency in Python for ML applications
• Experience building production LLM-based applications
• Strong experience with AWS ML services (SageMaker, Lambda, etc.)
• Experience deploying ML models to production environments

✨ Nice to Have

• Practical experience with cloud platforms (AWS stack preferred)
• Practical experience with deep learning models
• Experience with taxonomies or ontologies

🎁 Benefits & Perks

• 💊 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