About the role
Build AI recommendation models, NLP pipelines, and ML-powered search and chatbot features for an education technology platform.
Key responsibilities
- Build AI recommendation models for university matching.
- Develop NLP models for document parsing.
- Train ML models using admission datasets.
- Develop scholarship recommendation algorithms.
- Improve search ranking.
- Build chatbot using LLM APIs.
- Develop prompt engineering pipelines.
- Evaluate model accuracy.
- Monitor production models.
- Deploy ML pipelines.
- Work with Data Engineers.
Qualifications
- 3–5 years of AI/ML engineering experience.
- Strong Python skills and experience with PyTorch, TensorFlow, or Scikit-learn.
- Hands-on experience with NLP, LLM APIs, and recommendation systems.
- Familiar with MLOps practices and model monitoring tools.
Technology stack
PythonPyTorchTensorFlowNLPLLM APIsScikit-learnPandasMLOps
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