Required Skills and Qualifications
Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
10–15 years of experience in data science, machine learning, or AI
Proficiency in Python and ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, Keras, or PyTorch
Experience with SQL and working knowledge of data manipulation and wrangling
Solid understanding of statistical modeling, hypothesis testing, and performance metrics
Familiarity with NLP, time-series forecasting, or computer vision is a plus
Experience in deploying models using Flask/FastAPI, Docker, or MLflow
Exposure to cloud platforms (AWS, Azure, or GCP) and ML Ops tools
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