Degree in Artificial intelligence- AI
Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Automation, AWS, Data Engineering, Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Keras software library, Linux Operating system, Machine learning techniques, Natural Language Processing (NLP), Optimization, Planning and organization, Presentation skills, Python Programming, R Programming, Red Hat OpenShift, Scikit-learn, SQL, Tableau, TensorFlow, Writing
The Data Foundations and AI Solutions Engineering team supports AI/ML efforts in customer facing interfaces and internal troubleshooting tools. We look to simplify the resolution of issues through improved content, search, diagnostics, and support workflow.
We are seeking a technically minded, detail oriented, and creative Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about collaborating with subject matter experts, and software engineers to create and maintain ML models, both predictive and generative, and applications that improve the customer experience when facing issues with Red Hat products.
The successful candidate will have a track record of strong technical skills, exposure to various ML frameworks, and excellent communication and collaboration skills. Additionally, the candidate should be comfortable with experimentation, objective validation, and a fast, iterative approach to development.
If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and collaborative innovation, then this is the job for you!
What you will do
The work entails collaborating with highly skilled engineers and program/product managers to help create, maintain, and evolve automation and AI solutions for the Experience Engineering (XE) organization at Red Hat.
What you will bring
Personal qualities and communication
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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 have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. 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. Opportunities are open. Join us.
Diversity, Equity & 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 diverse 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 of diversity 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 is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies.
United States
10-12 year