Accountabilities:
AI Model Development: Design, build, and optimize machine learning models and algorithms for various applications to meet the defined business requirements
Data Management: Collect, preprocess, and analyze large datasets to feed AI models.
Integration: Collaborate with software engineers to integrate AI solutions into existing systems and applications.
Research & Innovation: Stay up-to-date with the latest AI research and technologies, and propose innovative solutions to improve our AI capabilities.
Performance Monitoring and Troubleshooting: Continuously monitor AI models, evaluate their performance for accuracy and efficiency, and troubleshoot as needed.
Documentation: Maintain comprehensive documentation of AI models, processes, and workflows.
Project Coordination: Manage project activities, including estimation, planning, and stakeholder management, ensuring project quality and timely delivery.
Collaboration: Work closely with data scientists, product managers, and other stakeholders to understand business needs and deliver AI solutions that provide value.
Compliance: Ensure all AI solutions comply with data privacy and security regulations.
Training and Development: Provide training and share knowledge in AI and automation processes and technologies.
All other duties as assigned
Qualifications
Required:
Education: Bachelor's degree in Computer Science, IT, Mathematics, Statistics, Physics, or any related field.
Technical Skills:
Proficiency in Python programming language
Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
Experience with data preprocessing, feature engineering, and data visualization tools (Pandas, NumPy, Matplotlib, Seaborn).
Experience with cloud platforms (Azure) and containerization (Docker or Kubernetes)
Proficiency in SQL and experience with databases (SQL, NoSQL).
Experience:
At least 1 year of experience in AI development
Proven track record of deploying AI models in production
Nice to Have:
Education: Master's or Ph.D. in a relevant field.
Technical Skills:
Familiarity with CI/CD pipelines and DevOps practices.
Experience in REST API development and other web services; with ability to integrate APIs with various backend systems
Experience with reinforcement learning, AutoML tools and frameworks.
Knowledge in Agile or Waterfall methodology.
Knowledge in UI development
Certifications:
Relevant certifications in AI, machine learning, or cloud platforms (e.g., Microsoft Azure AI Engineering Certificate, AWS Certified Machine Learning, Google Professional Machine Learning Engineer).
LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-
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