Lead AI/ML Engineer

We are looking for a Lead AI/ML Engineer to architect and develop intelligent learning systems that personalize education, assess learner progress, and enhance engagement through data-driven insights. You will lead the design of adaptive learning algorithms, NLP-based assessments, and recommendation models for personalized learning paths.

Responsibilities

• Design and implement personalized learning algorithms (rule-based and ML-driven).
• Develop recommendation systems to suggest courses and content based on learner behavior, skills, and goals.
• Build and fine-tune NLP models for automated essay scoring, topic extraction, and content tagging.
• Collaborate with data engineers to create ETL pipelines from platform usage data, assignments, and assessments.
• Work closely with the HPC and MLOps teams to deploy and monitor ML services efficiently.
• Contribute to model explainability, fairness, and transparency in AI-driven educational recommendations.
• Mentor junior ML engineers and review research/implementation papers for feasibility.

Requirements

• 5+ years of experience in machine learning, NLP, or applied AI.
• Strong knowledge of Python, PyTorch or TensorFlow, and scikit-learn.
• Experience with recommendation systems, classification, and reinforcement learning.
• Practical experience with Azure ML, Databricks, or AWS SageMaker.
• Familiarity with GDPR compliance and ethical AI in EdTech.
• Experience leading small AI teams or research projects.