Machine Learning Engineer Data and AI

@ Fisher Investments

Overview

It's an exciting time to join Fisher Investments as they expand their AI capabilities for international growth. In this role, the Machine Learning Engineer Data and AI will build and optimize scalable AI applications that integrate deeply with business processes.

The Opportunity

You will design, implement, and optimize production-ready ML models, working closely with data scientists and engineers to deliver innovative AI solutions. Reporting to the Vice President, Technology Innovation, you will ensure models are performant, maintainable, and seamlessly integrated with enterprise systems.

The Day-to-Day

• Build and deploy machine learning models into production environments.
• Optimize model training and inference pipelines for performance and scalability.
• Collaborate with data engineers to design robust feature pipelines.
• Leverage APIs and microservices for integrating AI models into enterprise applications.
• Ensure models are explainable, reliable, and compliant with regulatory requirements.
• Work with cloud-native ML services including Azure ML, Kubernetes, and Docker.
• Research and implement state-of-the-art ML methods for business applications.
• Apply NVIDIA NIMs for model optimization and scaling, and use NeMo services for model development and fine-tuning.

Your Qualifications

• 5+ years of experience as an ML Engineer or Software Engineer with ML focus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with distributed training and GPU optimization (CUDA, RAPIDS preferred).
• Familiarity with data pipelines including Spark, Databricks, and Kafka.
• Hands-on experience with CI/CD for ML workflows and container orchestration (Docker, Kubernetes).
• Strong knowledge of algorithms, data structures, and ML system design.
• Experience deploying on Azure AI services and leveraging NVIDIA NeMo and NIMs.
• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.

Why Fisher Investments

The company is committed to bettering the investment universe through an inclusive culture, robust learning and development, and exceptional benefits:

• 100% paid medical, dental, and vision premiums.
• A 50% 401(k) match up to the IRS maximum.
• 20 days PTO, plus 10 paid holidays.
• Comprehensive family support programs.

This is primarily an in-office role with potential hybrid options based on tenure and performance.

Key skills/competency

• Machine Learning
• Python
• TensorFlow
• PyTorch
• CI/CD
• Azure
• Kubernetes
• Docker
• NVIDIA NIMs
• Data Pipelines