LexisNexis Risk Solutions is looking to tackle the toughest technical challenges in artificial intelligence, automated code generation, and building elegant systems that scale, specifically by building an anomaly detection component and a proprietary genetic algorithm component.
Requirements
- Proficiency in Java (Java 8 or later), with strong knowledge of object-oriented programming, concurrency, and performance optimization.
- Strong understanding and practical use of regular expressions for pattern matching, text extraction, and input validation.
- Expert grasp of data structures, algorithms, and design patterns.
- Knowledge of text pre-processing, tokenization, POS tagging, and entity recognition techniques in traditional NLP.
- Experience working with large-scale text datasets, parsing unstructured data, and optimizing for performance and accuracy.
- Ability to design and work with complex data models.
- Proficiency in Git and GitHub workflows, including branching strategies, pull requests, code reviews, and CI/CD pipelines.
Responsibilities
- Serve as a primary technical point of contact for external technology resources.
- Provide design input across a technology stack.
- Write and review portions of detailed specifications for the development of system components of moderate complexity.
- Complete complex bug fixes.
- Design and work with complex data models.
- Mentor lead software developers interested in consultancy on development methodologies and optimization techniques.
- Ability to ensure that quality solutions integrate seamlessly with existing data pipelines and architectures.
Other
- 8+ years of professional software development experience.
- Strong technical leadership skills; partnering with and advising technology resources in solving complex problems.
- Strong problem-solving skills, with a desire to learn and the ability to grasp new concepts quickly. Must be able to work independently as well as in a team environment.
- Excellent communication skills, both written and verbal.
- BS Engineering/Computer Science or equivalent experience required; advanced degree preferred
