Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
About the role
- Lead Applied Scientist creating ML/NLP models for Nightfall’s Data Leak Protection products. Leading research and guiding engineers in the application of machine modeling techniques.
Responsibilities
- Fast-paced, hands-on execution, work with the team to work towards clear business goals, and deliver against them
- Creatively apply statistical and machine learning modeling techniques for solving open ended problems in the enterprise security and data leak detection space
- Create, train and fine-tune NLP, large language and other models for use in large scale, real-time environments
- Work with the team to take model prototypes to production through the entire ML lifecycle phases
- Help shape the architecture of the AI Models and Platform to support machine learning at scale and with optimal operational cost
Requirements
- Minimum 5+ years of hands-on, technical development experience
- 5-10 years of experience mentoring and technically leading Data Science or ML Engineering teams.
- Strong expertise in Python with an additional language such as Go, C++, Java or Rust.
- Grounded in Data Science and Machine Learning algorithms with demonstrated business impact through application of statistical and machine learning techniques.
- Proficient in training custom transformer, large language models or other deep learning techniques to solve complex NLP problems.
Benefits
- Health insurance
- Professional development opportunities
- Stock options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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