Engineer - Machine Learning

About the role

The ML Engineer will support the Centre for Distance & Online Education (NCDOE) in designing, developing, implementing, and maintaining AI/ML-enabled solutions across the Learning Management System (LMS), Student Portal, and other in-house digital platforms. The role will work closely with the Technology Team, Product Manager, and other business stakeholders to drive technology-enabled innovation, automation, analytics, and intelligent learning solutions

What you'll do

• Develop, test, deploy, and maintain Machine Learning and AI-based applications for LMS, Student Portal, and other academic systems
• Build intelligent automation solutions for student engagement, learning analytics, recommendation engines, chatbot support, assessment analytics, predictive analytics
• Support integration of AI/ML models with existing web applications and enterprise systems
• Product & Technology Collaboration
• Work closely with the Product Manager to understand business requirements, change requests, enhancement needs, and digital transformation initiatives

What you need

• 3–6 yrs of experience
• Machine learning
• SQL
• Python
• Scikit-learn
• Pandas
• LLMs
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• NLP
• ETL
• Deep learning
• TensorFlow
• PyTorch
• NumPy