Machine Learning Engineer (Chicago)
$120,000–$130,000 year
On-site · Chicago, Illinois, United States
Job Summary
Machine Learning Engineer to design, build, and deploy ML and Generative AI solutions for Fitch Group’s Emerging Technology team. Collaborate with product squads and partner teams to implement production-grade ML/GenAI workflows, develop enterprise-level AI governance and tooling, and maintain scalable data pipelines and services using Python, AWS (SageMaker, Bedrock, S3), Airflow, Docker, and Kubernetes. Communicate ML/GenAI concepts to technical and non-technical stakeholders, drive practical business value from data, and ensure reliable, observable production systems.
Required Qualifications
- 3+ years of experience as a machine learning engineer or in a closely related software engineering role focused on ML systems
- Experience writing production-quality Python code and applying sound software engineering practices
- Strong foundation in machine learning concepts and practical experience applying modern ML techniques to real-world problems
- Strong software engineering fundamentals, including code quality, automated testing, version control, observability, and performance optimization
- Experience building or integrating Generative AI applications, such as retrieval-augmented generation, evaluation workflows, or agent-assisted systems
- Experience building or improving search, retrieval, or data access layers that support ML or GenAI applications
- Experience with containerized deployment and orchestration, such as Docker and Kubernetes
- Experience with cloud-native ML and data services, especially in AWS. Familiarity with tools such as Bedrock, S3, SageMaker, Azure AI Search, or Azure OpenAI is helpful
- Bachelor’s degree in computer science, machine learning, data science, applied mathematics, or a related field, or equivalent practical experience
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