Evergreen
Overview
About this Role
We are looking for a Senior Machine Learning Engineer to design, develop, and deploy ML and Gen AI solutions and ensure model governance within the AI Foundry. You will work on building production-ready ML pipelines, optimizing performance, and integrating models into enterprise workflows using Azure AI services.
Responsibilities
Build and deploy ML models for classification, regression, forecasting, and anomaly detection.
Implement CI/CD pipelines for ML workflows using Azure ML and AI Foundry.
Define and monitor model performance metrics, drift detection, and retraining strategies.
Collaborate with data engineering teams to ensure data quality and feature availability.
Ensure compliance with Responsible AI principles, including bias testing and explainability.
Optimize model performance for cost, latency, and scalability.
What You'll Need to Succeed
Bachelor’s in Computer Science, Data Science, or related field; or equivalent practical experience.
5+ years of experience in ML development and deployment.
Strong Python programming skills and experience with scikit-learn and PyTorch/TensorFlow.
Hands-on experience with Azure ML, Google Vertex AI, AWS Sagemaker and Azure AI Foundry.
Knowledge of model evaluation, monitoring, and governance best practices.
Location: Atlanta, GA
Seniority level Mid-Senior level
Employment type Full-time
Job function Professional Services and IT Services and IT Consulting
Industries Professional Services and IT Services and IT Consulting
#J-18808-Ljbffr
Responsibilities
Build and deploy ML models for classification, regression, forecasting, and anomaly detection.
Implement CI/CD pipelines for ML workflows using Azure ML and AI Foundry.
Define and monitor model performance metrics, drift detection, and retraining strategies.
Collaborate with data engineering teams to ensure data quality and feature availability.
Ensure compliance with Responsible AI principles, including bias testing and explainability.
Optimize model performance for cost, latency, and scalability.
What You'll Need to Succeed
Bachelor’s in Computer Science, Data Science, or related field; or equivalent practical experience.
5+ years of experience in ML development and deployment.
Strong Python programming skills and experience with scikit-learn and PyTorch/TensorFlow.
Hands-on experience with Azure ML, Google Vertex AI, AWS Sagemaker and Azure AI Foundry.
Knowledge of model evaluation, monitoring, and governance best practices.
Location: Atlanta, GA
Seniority level Mid-Senior level
Employment type Full-time
Job function Professional Services and IT Services and IT Consulting
Industries Professional Services and IT Services and IT Consulting
#J-18808-Ljbffr