Senior ML Platform Engineer - Artificial Intelligence

Bloomberg is a global financial information and technology company that develops AI-driven products for search, discovery, and workflow solutions across the capital markets. The Senior ML Platform Engineer will build and maintain cohesive platforms and workflows for AI applications, including model training, inference, monitoring, deployment, CI/CD automation, troubleshooting, and documentation.

Responsibilities

• Architect, build, and diagnose multi-tenant AI platform systems
• Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
• Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
• Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
• Design CI/CD automation frameworks that incorporate regulatory requirements
• Develop cloud-native deployment patterns for AI systems across environments
• Troubleshoot and debug user issues
• Provide operational and user-facing documentation

Benefits

• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical benefits
• Dental benefits
• Vision benefits
• Short-term disability benefits
• Long-term disability benefits
• 401(k) + match
• Life insurance
• Various wellness programs

Company

• Business and financial information, data, news, and technology services.
• New York, New York, USA
• http://www.bloomberg.com/
• Founded in 1981
• 10001+ employees

Qualifications

• 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
• Experience designing cloud-native, distributed platforms
• Strong knowledge of Kubernetes, Argo, and container orchestration technologies
• Previous experience with modern CI/CD tools and GitOps workflows
• Familiarity with implementing automation for model development lifecycles
• A proactive mentality and ability to collaborate with peers, stakeholders, and management
• A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
• An understanding of Computer Science fundamentals such as data structures and algorithms

Required skills

• Argo, CI/CD, Cloud-Native Distributed Systems, Data Structures and Algorithms, GitOps, Go, Kubernetes, Machine Learning Lifecycle Automation, Python

Experience

• 4+ years