Machine Learning Operations Engineer

@ Fisher Investments

Overview

Fisher Investments is investing 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 seeking a Machine Learning Operations Engineer responsible for deploying machine learning models and ensuring their efficient, secure, and scalable operation.

The Opportunity

In this role, you will design, implement, and maintain the systems that bridge machine learning development and deployment. Working alongside data scientists, data engineers, and platform teams, you will ensure models are properly monitored, versioned, and continuously improved.

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, ensuring 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 for compliance with regulations.
• Partner with data scientists to translate experiments into production-ready pipelines.
• Contribute to scalable AI platforms using Azure Machine Learning, NVIDIA NIMs, and NeMo services.

Your Qualifications

• 5+ years of experience in Machine Learning Operations, DevOps, or related fields.
• Hands-on expertise with Kubernetes, Docker, and CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
• Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and Python.
• Experience with monitoring tools (Prometheus, Grafana, MLflow, Weights & Biases).
• Deep knowledge of cloud-native AI services, especially Microsoft Azure AI.
• Experience with NVIDIA NIMs and NeMo services for foundation model deployment.
• Familiarity with model governance, audit, and compliance frameworks.
• Bachelor's degree in Computer Science, Data Science, or equivalent work experience.

Why Fisher Investments

We work for a bigger purpose: bettering the investment universe. Enjoy an inclusive culture, a customized learning and development framework, and benefits that include:

• 100% paid medical, dental, and vision premiums for you and qualifying dependents.
• A 50% 401(k) match, up to the IRS maximum.
• 20 days of PTO plus 10 paid holidays.
• Family support programs including paid caregiver leave and fertility support.

This is an in-office role with potential for a hybrid work-from-home program based on role, tenure, and performance.

Key skills/competency

• Machine Learning
• CI/CD
• Kubernetes
• Docker
• Cloud Services
• Azure AI
• NVIDIA NIMs
• NeMo
• Python
• Model Governance