Senior MLOps Engineer - Artificial Intelligence

Description

Bloomberg’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.

Requirements

• 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
• Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
• Experience with cloud providers such as AWS, GCP or Azure
• A track record of collaboration with colleagues to achieve repeatable high quality outcomes

Qualifications

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Benefits

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.

Pay

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus

Schedule

N/A