Machine learning serp_jobs.h1.location_city

Overview

It's an exciting time to join Fisher Investments! We're continuing to invest in the future of our firm's technology and information security. As our business grows internationally, the need for resilient, scalable AI solutions has never been greater. We are looking for an Machine Learning Operations Engineer responsible for deploying machine learning models and ensuring their efficient, secure, and scalable operation.

The Opportunity :

As a Machine Learning Operations Engineer, you will design, implement, and maintain the systems that bridge the gap between machine learning development deployment. You will work with data scientists, data engineers, and platform teams to ensure models are monitored, versioned, governed, and continuously improved. You will report to the Vice President, Technology Innovation.

The Day-to-Day :

• Build, maintain, and improve Machine Learning pipelines for training, testing, deployment, and monitoring
• Develop CI / CD workflows tailored for ML environments, including model versioning and reproducibility
• Implement monitoring systems for model drift, performance, and reliability
• Automate retraining and deployment workflows using Kubernetes, Docker, and cloud services
• Collaborate with security and governance teams to ensure compliance with internal and external regulations
• Partner with data scientists to translate experiments into production-ready pipelines
• Contribute to the evolution of scalable AI platforms using Azure Machine Learning, NVIDIA NIMs, and NeMo services

Your Qualifications :

Why Fisher Investments :

We work for a bigger purpose : bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like :

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER