Job Description & How to Apply Below
- Design and build Machine Learning models for prediction, classification, clustering, and recommendation systems
- Develop and fine-tune Large Language Models (LLMs) such as GPT-based, BERT-based architectures
- Implement Deep Learning models using frameworks like Tensor Flow or Py Torch
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
- Deploy models into production using MLOps best practices
- Optimize model performance and ensure scalability
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 3- 5 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C,C++, Java, SQL)
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