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채용Red Hat

Principal Data Scientist

Red Hat

Principal Data Scientist

Red Hat

2 Locations

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Remote Work

Flexible Hours

필수 스킬

NLP

Python

Machine Learning

Spacy

Hugging Face

TensorFlow

PyTorch

Keras

GenAI

LLMs

About the job

The Digital workforce team is part of Red Hat’s Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise.

We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business.

In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat’s data community and in turn our customers achieve their business and technical goals with Red Hat products effectively.

What will you do?

  • Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.

  • Drive the development of next-generation AI/ML applications in a highly collaborative environment.

  • Oversee the design, implementation, and delivery of AI solutions.

  • Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis.

  • Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.

What will you bring?

  • 7 years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.

  • Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.

  • Deep understanding of machine learning frameworks and experience in Generative AI application development.

  • Working knowledge of Tensor Flow, Tensor Flow Serving, Keras, Py Torch.

  • Comfortable working with a small team in a fast-paced, highly collaborative environment

  • Experience with GenAI application development

  • LLMs, Embedding models, Vector Databases

  • Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP.

  • Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry

  • Experience developing highly scalable backend microservices in AWS

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40 countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistanceredhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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Acquired

Red Hat, Inc. is an American software company that provides open source software products to enterprises and is a subsidiary of IBM. Founded in 1993, Red Hat has its corporate headquarters in Raleigh, North Carolina, with other offices worldwide.

10,001+

직원 수

Raleigh

본사 위치

$34B

기업 가치

리뷰

4.0

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

3.4

경영진

3.8

72%

친구에게 추천

장점

Great benefits and health coverage

Supportive management and leadership

Good compensation and pay

단점

Work-life balance challenges and long hours

Communication issues and lack of direction

Fast-paced and stressful environment

연봉 정보

993개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Consultant

70개 리포트

$103,140

총 연봉

기본급

$95,867

주식

-

보너스

$7,273

$67,733

$158,007

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 50%

부정 50%

면접 과정

1

Screening Test

2

Phone Interview

3

Multiple Interview Rounds

4

Onsite