Evergreen
Direct message the job poster from Evergreen
Sr. Machine Learning Engineer
About Evergreen Evergreen is the professional services division of Insight Global. At our core, we are innovative problem solvers who add value through talent and technology. We hire for long-term growth and fulfillment while fostering a people‑first culture that supports one another and strives to Be the Light to the world around us. With access to talent in 50+ countries and delivery capabilities globally, we deliver world‑class technical and talent services to Fortune 500 clients to power innovation and transformation.
We hire for people who embody our Shared Values: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character and Hard Work Above All Else, Always Know Where You Stand, Unity in Diversity, and Hustle & Grit.
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.
What you'll do
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
IT Services and IT Consulting
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Sr. Machine Learning Engineer
About Evergreen Evergreen is the professional services division of Insight Global. At our core, we are innovative problem solvers who add value through talent and technology. We hire for long-term growth and fulfillment while fostering a people‑first culture that supports one another and strives to Be the Light to the world around us. With access to talent in 50+ countries and delivery capabilities globally, we deliver world‑class technical and talent services to Fortune 500 clients to power innovation and transformation.
We hire for people who embody our Shared Values: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character and Hard Work Above All Else, Always Know Where You Stand, Unity in Diversity, and Hustle & Grit.
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.
What you'll do
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
IT Services and IT Consulting
#J-18808-Ljbffr