The Global Revenue Recognition Systems team supports the Revenue Recognition Organization with application development, systems administration, technical support, and process improvements. This role will actively participate in the development/building, testing, and enhancing of custom AI/ML models using Python for Data Science, OML, Gen AI, PL/SQL, Oracle APEX and other technologies. The development process includes problem solving with a diverse team of individuals with different skill sets and backgrounds.
Major responsibilities include:
- Build AI/ML models based on identified AI use cases
- Deploy models and make them accessible using user-friendly UI (Apex/OAC)
- Assist and support all quarter-end activities
- Ensure development and bug resolution meet internal SLAs
- Make recommendations for issue resolution
- Document processes
- Utilize proper industry standards to code and develop software and deliver on time
Technical skills required:
- SQL, PL/SQL
- Oracle DB (ADB)
- HTML
- Python for Data Science
- JavaScript
- AJAX
- Oracle APEX
- Oracle Machine Learning
- Gen AI
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science or Engineering or equivalent
- 5+ years software development experience with a history of developing solutions using Python for Data Science, Gen AI technologies, Oracle ML, Oracle APEX, SQL/PLSQL and web technologies
- Strong experience in AI/ML model building using Python
- Strong experience in performing Data Analytics activities for Model building
- Strong experience using SQL & PL/SQL (Oracle Certification is a plus)
- Proficiency in RDBMS concepts & advanced experience in creating and using database objects
- Knowledge in Oracle Analytics Cloud (OAC) is a plus
- Strong analytical and problem-solving skills
- Effective working alone and as a team
- Strong interest to train and learn new technologies
- Ability to simultaneously work on multiple projects with changing priorities and deadlines
- Ability to effectively communicate verbally and in writing and build strong relationships across geographies
- Detail-oriented, yet able to identify issues and grasp concepts at a broader level
- Experience in working with the business from a finance perspective at global Fortune 500 enterprises