Machine Learning Engineer - Data and AI

Fisher Investments-posted 2 months ago
Full-time • Senior
Hybrid • Plano, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services
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It's an exciting time to join Fisher Investments! We are expanding our AI capabilities to support our international growth. We are looking for a Machine Learning Engineer who will build and optimize scalable AI applications that integrate deeply with business processes. The Machine Learning Engineer will design, implement, and optimize production-ready ML models, working closely with data scientists and engineers to deliver innovative AI solutions. You will ensure that models are performant, maintainable, and seamlessly integrated with enterprise systems. You will report to the Vice President, Technology Innovation.

  • 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
  • 10+ years experience developing data-related solutions and software
  • 5+ years of experience as an ML Engineer or Software Engineer with ML focus
  • 5+ years of proficient experience with Python, strong experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with distributed training and optimization on GPUs (CUDA, RAPIDS)
  • 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
  • Practical experience deploying on Azure AI services, and use NVIDIA NeMo and NIMs for LLM and generative AI workloads
  • Bachelor's degree in Computer Science, Machine Learning, or related field
  • 100% paid medical, dental and vision premiums for you and your qualifying dependents
  • A 50% 401(k) match, up to the IRS maximum
  • 20 days of PTO, plus 10 paid holidays
  • Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
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