Responsibilities

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 TensorFlow or PyTorch
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)

Data Scientist