Senior Software Engineer, AI
Listed on 2026-01-12
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the ‘moments that matter’ in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identify opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity.
We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. 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.
If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start‑up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and Open Source development culture then we are the TEAM for you.
In this role, you will be the voice of Red Hat’s technical authority, creating and delivering features/capabilities that help Red Hat’s data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit‑for‑purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement.
The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you!
WhatYou Will Do
- Collaborate with a small, agile team to research and implement effective NLP algorithms and tools.
- Contribute to the design, development, and delivery of NLP applications from concept to production.
- Analyze data science prototypes and ensure they meet business requirements.
- 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.
- 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face.
- Strong understanding of NLP techniques and experience in Generative AI application development.
- Familiarity with machine learning frameworks, including Tensor Flow, Keras, and PyTorch.
- Experience in developing scalable backend microservices in AWS.
- Ability to translate complex data findings into actionable business insights.
- 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.
- Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling.
- Communication skills and experience in interacting with cross functional business and engineering teams.
- Capability in undertaking…
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