BayRockLabs - AI/ML Engineer - ETL/Python
2 weeks ago
Description
Role Overview : Build, train, and deploy machine learning models for predictive analytics and data-driven decision making.
Implement end-to-end ML pipelines from data preparation to production deployment.
Key Responsibilities
- Develop and train ML models for classification, regression, forecasting, and anomaly detection.
- Perform feature engineering, data preprocessing, and exploratory data analysis.
- Implement model training pipelines with hyperparameter optimization
- Deploy models to production and integrate with application services
- Monitor model performance, detect drift, and trigger retraining
- Collaborate with data engineers on feature store and data pipeline design
- Conduct A/B testing and model performance evaluation
- Document model architectures, experiments, and deployment Skills Learning :
- Strong foundation in supervised and unsupervised learning algorithms
- Time-series forecasting and anomaly detection techniques
- Classification, regression, clustering, and ensemble methods
- Feature engineering and feature selection strategies
- Model evaluation metrics and validation techniques
- Handling imbalanced datasets and data quality & Mathematical :
- Statistics, probability, and linear algebra
- Hypothesis testing and statistical inference
- Optimization algorithms and gradient descent
- Understanding of model bias, variance, and Processing :
- Data cleaning, transformation, and normalization
- Exploratory Data Analysis (EDA) and data visualization
- Working with structured and unstructured data
- ETL/ELT pipeline integration.
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