LexisNexis is looking to solve complex business problems using AI solutions
Requirements
- Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
- Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
- Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
- Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
- Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
Responsibilities
- Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
- Leading the development of advanced AI and machine learning models to solve complex business problems
- Analyzing large datasets to identify patterns and trends that can inform AI development.
- Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
- Leading the automation and lifecycle management of sophisticated data systems.
- Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
- Designing APIs for disseminating data science outputs to various business units.
Other
- Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
- Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
