About the role
Programming & Tools Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) Working knowledge of statistical analysis and modeling Machine Learning & AI Solid understanding of machine learning algorithms (supervised & unsupervised) Hands-on experience with: Regression (linear, logistic), Classification (decision trees, random forests, SVM), Clustering (K-means, hierarchical) Predictive Modeling Proven experience in predictive modeling and forecasting Ability to build, validate, and deploy predictive models Strong understanding of: Feature engineering Model evaluation techniques (ROC, precision/recall, cross-validation) Experience working with real-world datasets to derive actionable insights Statistics & Data Analysis Strong foundation in statistics and probability Hypothesis testing, regression analysis, and statistical modeling Data cleaning, transformation, and exploratory data analysis (EDA)
Data & Deployment (Preferred )Experience with cloud platforms (AWS, Azure, or GCP )Familiarity with Docker/containers is a plu sExposure to MLOps practices (CI/CD for ML models
)
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About the role
Programming & Tools Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) Working knowledge of statistical analysis and modeling Machine Learning & AI Solid understanding of machine learning algorithms (supervised & unsupervised) Hands-on experience with: Regression (linear, logistic), Classification (decision trees, random forests, SVM), Clustering (K-means, hierarchical) Predictive Modeling Proven experience in predictive modeling and forecasting Ability to build, validate, and deploy predictive models Strong understanding of: Feature engineering Model evaluation techniques (ROC, precision/recall, cross-validation) Experience working with real-world datasets to derive actionable insights Statistics & Data Analysis Strong foundation in statistics and probability Hypothesis testing, regression analysis, and statistical modeling Data cleaning, transformation, and exploratory data analysis (EDA)
Data & Deployment (Preferred )Experience with cloud platforms (AWS, Azure, or GCP )Familiarity with Docker/containers is a plu sExposure to MLOps practices (CI/CD for ML models
)