We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and support scalable machine learning solutions. This role will develop predictive models, build reusable machine learning pipelines, operationalize models through MLOps practices, and monitor model performance in production.
The ideal candidate has strong hands-on experience with machine learning algorithms, predictive modeling, forecasting, Python, feature engineering, model training and evaluation, AWS cloud services, and production ML operations. Experience developing Generative AI and Large Language Model applications is also preferred.
The candidate will collaborate with data scientists, data engineers, software engineers, product teams, and business stakeholders to deliver secure, reliable, and scalable machine learning solutions.
Roles and Responsibilities
Design, develop, train, evaluate, and deploy predictive machine learning models for time-series forecasting, classification, regression, anomaly detection, clustering, recommendation, and other business use cases.
Perform data exploration, preprocessing, feature engineering, feature selection, and model experimentation.
Build reusable machine learning pipelines covering data ingestion, feature engineering, training, validation, deployment, monitoring, and retraining.
Develop forecasting solutions using historical data, time-series features, backtesting, and appropriate validation techniques.
Optimize model performance through hyperparameter tuning, cross-validation, experimentation, and error analysis.
ImplementMLOps practices, including experiment tracking, model versioning, model registries, automated testing, CI/CD, and reproducible deployments.
Develop monitoring and alerting solutions for model accuracy, forecast performance, data quality, drift, bias, latency, reliability, and infrastructure performance.
Develop machine learning solutions that are scalable, secure, explainable, maintainable, and cost-efficient.
Implement responsible AI, security, privacy, access-control, and governance requirements.
