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Data Security Engineer
Sao Paulo, BrazilWe're building the future of how the world communicates.
Netcracker, part of NEC Corporation, combines deep telecom industry expertise with cutting-edge cloud-native and AI-powered innovations to enable communications service providers and enterprises to transform their businesses, unlock innovation, and create meaningful digital experiences for millions of people around the world. With more than 30 years of experience serving over 250 customers in more than 70 locations worldwide, we are the global market leader in telecom software and services.
Join us and be part of a team that is not just keeping up with the digital future but is leading the way.
Job Summary
We are seeking a mid-level Data Security Engineer with comprehensive experience in Natural Language Processing (NLP) for our NetCracker’s Brazil branch in São Paulo. This is a full-time position. The role focuses on managing and improving NLP models based on requirements. The ideal candidate will identify, assess, and address issues with the NLP models and inconsistencies in data results.
Required Experience:
- Strong proficiency in languages like Python, along with others such as Java, C++, or JavaScript, is essential.
- A deep understanding of linear algebra, calculus, probability, and statistics is necessary for developing and implementing AI models.
- Expertise in various machine learning algorithms, deep learning concepts, and how to apply them is critical.
- Experience with data analysis, manipulation, and feature engineering is a key component of AI work.
- Familiarity with common AI/ML frameworks and libraries, as well as cloud platforms, is often required.
- Knowledge of Linux command-line workflows is also beneficial.
- 3 to 8 years of experience in artificial intelligence.
- Experience with BERT-based models preferred.
- Experience with version control systems such as Git or similar.
- Strong understanding of software development processes.
- Good communication and interpersonal skills, capable of collaborating effectively across interpersonal boundaries and geographies.
- Strong analytical and problem-solving abilities, with a keen attention to detail.
- Ability to work independently and lead cross-functional teams in a fast-paced environment
Education:
- BS/MS in Computer Science, Software Engineering, Information Systems or related major
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