Senior MLOps Engineer - Artificial Intelligence

Bloomberg L.P.; New York (NY); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Comprehensive benefits plan

401(k) with match

Paid holidays and time off

Job summary

A leading financial technology company in New York is seeking a Senior MLOps Engineer to help enhance AI systems and processes. Candidates should have at least 4 years of experience in programming, knowledge of machine learning frameworks, and experience with cloud technologies. The position offers a competitive salary range of $160,000 - $240,000 annually plus benefits, promoting a diverse and inclusive workplace.

Qualifications

• Experience working with cloud providers such as AWS, GCP, or Azure.
• Track record of collaboration with colleagues for successful outcomes.
• Industry experience with machine learning teams.

Responsibilities

• Architect, build, and diagnose production AI applications.
• Collaborate with colleagues to maintain production quality code.
• Work closely with AI Platform teams on workflows.

Skills

4+ years of experience with an object-oriented programming language

Understanding of data structures and algorithms

Working knowledge of ML frameworks

Experience with cloud-native technologies

Collaboration and problem-solving skills

Education

Degree in Computer Science, Engineering, Mathematics

Tools

Python

Kubernetes

AWS

PyTorch

Job description

Senior MLOps Engineer - Artificial Intelligence

Location

New York

Business Area

Engineering and CTO

Ref #

10036291

Description & Requirements

Bloomberg’s Engineering AI department has 350+ 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 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.

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, GCP 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 = 160000 - 240000 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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]