BayRockLabs - AI/ML Engineer - ETL/Python

Description

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.