BayRockLabs - AI/ML Engineer - ETL/Python

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 processes

Required Skills :

Machine Learning :

- 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 issues

Statistical & Mathematical :

- Hypothesis testing and statistical inference

- Optimization algorithms and gradient descent

- Understanding of model bias, variance, and overfitting

Data Processing :

- Exploratory Data Analysis (EDA) and data visualization

- Working with structured and unstructured data

- ETL/ELT pipeline integration.