Description & RequirementsBloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.
As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.
Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to:
- Architect, build, and diagnose production AI applications and systems
- Collaborate with colleagues on production systems and write, test, and maintain production quality code
- Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
- Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows
We are looking for a Senior MLOps engineer with:
- 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- An understanding of Computer Science fundamentals such as data structures and algorithms
- An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
- Industry experience with machine learning teams
- Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc.
- Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
- Experience with cloud providers such as AWS, Google Cloud Platform or Azure
- A track record of collaboration with colleagues to achieve repeatable high quality outcomes
We give back to the technology community and you can read more about our outreach at:
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Never miss an opportunity! Create an alert based on the job you applied for.