Role Overview:

We are seeking a talented Machine Learning Engineer to design, develop, and optimize machine learning models that drive our adaptive learning system. You will work closely with our software engineers and product team to implement intelligent algorithms that enhance user engagement, personalize content, and improve learning outcomes.

Key Responsibilities:

Design, develop, and deploy machine learning models to power adaptive learning experiences.
Develop, fine-tune, and optimize large language models for specific use cases.
Implement prompt engineering techniques to enhance model performance.
Build and maintain knowledge graphs and recommendation systems to improve content personalization.
Implement NLP and deep learning techniques to analyze and categorize educational content.
Optimize ML models for scalability, efficiency, and real-time performance.
Monitor and fine-tune ML models based on user feedback and system performance.
Stay up-to-date with the latest advancements in machine learning, AI, and education technology.
Build and maintain knowledge graphs, taxonomies, and ontologies to improve content personalization and recommendation systems.

Required Qualifications:

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with recommendation systems, knowledge graphs, taxonomies, and NLP techniques.
Strong understanding of data structures, algorithms, and optimization techniques.
Ability to work in a collaborative, fast-paced environment with a product-focused mindset.