Experience with pytorch, onnx, deepspeed frameworks
Cloud-native technologies like kubernetes and argo workflows
Bloomberg is expanding its Engineering AI department to build innovative solutions using transformers, large language models, and dense vector databases
Job Summary
Bloomberg is expanding its Engineering AI department to build innovative solutions using transformers, large language models, and dense vector databases.
The Senior MLOps Engineer will design production AI applications, define SLAs for latency and throughput, and operationalize continuous model training and monitoring workflows.
Candidates will join a team of 400+ AI practitioners working on high-accuracy, low-latency financial products that process structured and unstructured information.
Matching Summary
Bloomberg is expanding its Engineering AI department to build innovative solutions using transformers, large language models, and dense vector databases.
Salary
Base: $160,000 - $240,000 USD Annual; Bonus: Incentive compensation available for exempt roles; Benefits: Comprehensive plan including 401(k) match, medical, dental, vision, and paid time off
Skills & Requirements
Must-have
4+ years object-oriented programming experience
Experience with PyTorch, ONNX, DeepSpeed frameworks
Cloud-native technologies like Kubernetes and Argo Workflows
Experience with AWS, GCP, or Azure cloud providers
Strong understanding of data structures and algorithms
Nice-to-have
Passion for building and maintaining AI systems
Honest approach to problem-solving
Ability to collaborate with peers and stakeholders
Track record of achieving repeatable high quality outcomes
Key Requirements
Degree in Computer Science, Engineering, Mathematics or equivalent
4+ years experience with Python, Go, or similar OOP languages
Prior industry experience with machine learning teams