Accepting Applications
Full-time
On-site
LinkedIn
Posted 2 months, 3 weeks ago
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0 applications
Job Description
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
)