Machine Learning Engineer Data and AI @ Fisher Investments
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Overview
It's an exciting time to join Fisher Investments! We are expanding our AI capabilities to support the firm's international growth. The Machine Learning Engineer Data and AI will build and optimize scalable AI applications that integrate deeply with business processes.
The Opportunity
The Machine Learning Engineer will design, implement, and optimize production-ready ML models while working closely with data scientists and engineers. The role involves delivering innovative AI solutions, ensuring models are performant, maintainable and seamlessly integrated with enterprise systems. You will report to the Vice President, Technology Innovation.
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 (Azure ML, Kubernetes, 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 experience in ML or Software Engineering with ML focus
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with distributed training and optimization on GPUs (CUDA, RAPIDS preferred)
- Familiarity with data pipelines (Spark, Databricks, 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
Fisher Investments offers a meaningful purpose by bettering the investment universe. The company values an inclusive culture and offers extensive benefits including 100% paid medical, dental, and vision premiums, a 50% 401(k) match up to IRS maximum, 20 days of PTO plus 10 paid holidays, and robust family support programs. Although this is an in-office role, based on tenure and performance, there may be opportunities for a hybrid work arrangement.
Key skills/competency
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Azure ML
- Kubernetes
- Docker
- NVIDIA NeMo
- CI/CD
- Data Pipelines
How to Get Hired at Fisher Investments
🎯 Tips for Getting Hired
- Customize your resume: Emphasize ML engineering skills and experience.
- Research Fisher Investments: Understand their AI expansion and culture.
- Highlight cloud expertise: Showcase Azure, Kubernetes, and Docker experience.
- Prepare for technical interviews: Practice ML frameworks and distributed training topics.