🛠 Tech Stack

💼 About This Role

You'll design and build end-to-end ML solutions and scalable ML pipelines for AI transformations across industries like healthcare and retail. You'll mentor engineers and drive innovation in a fully remote team with AWS certification support.

🎯 What You'll Do

• Design and implement end-to-end ML solutions from experimentation to production
• Build scalable ML pipelines and infrastructure
• Mentor junior and mid-level ML engineers
• Conduct code reviews and share knowledge through documentation

📋 Requirements

• Advanced proficiency in Python for ML applications
• Strong experience with AWS ML services (SageMaker, Lambda, etc.)
• Expertise in LLMs and GenAI including RAG and prompt engineering
• Proven experience deploying ML models to production with MLOps

✨ Nice to Have

• Practical experience with deep learning models
• Experience with Spark/Dask and Great Expectations
• Familiarity with taxonomies or ontologies

🎁 Benefits & Perks

• 🏥 Medical insurance budget
• 🏖️ Paid sick leave, vacation, public holidays
• 📚 Continuous learning support with unlimited AWS certification sponsorship

📨 Hiring Process

Recruitment Interview, Tech interview, HR Interview, HM Interview.