Software Engineer

Role Overview:

As an AI Platform Developer, you will play a crucial role in the creation of an AI tool designed to revolutionize the way Users provide feedback and managers conduct reviews. This platform will seamlessly integrate with our HRITS system, making it easier for managers to summarize impact and feedback derived from existing data within Workday. Additionally, it will empower both managers and employees to explore our career frameworks, enabling data-driven queries and providing answers to questions related to career growth.

Key Responsibilities:

• Collaborate with cross-functional teams to design and develop an Internal AI Platform for SPRiTEs GPT.
• Implement machine learning algorithms and natural language processing techniques to create a guided experience for writing feedback and reviews.
• Integrate the platform seamlessly with our HRITS system and Workday to leverage existing data.
• Ensure data privacy and security measures are in place to protect sensitive information.
• Develop a user-friendly interface that allows both managers and employees to interact with the platform easily.
• Conduct thorough testing and debugging to ensure the platform functions reliably and efficiently.
• Collaborate with stakeholders to gather requirements and continuously improve the platform based on user feedback.
• Provide technical expertise and support to internal teams to ensure successful platform adoption.
• Keep up-to-date with AI and NLP advancements to incorporate the latest innovations into the platform.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Proven experience in developing AI and machine learning applications, preferably in the context of natural language processing.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning frameworks and libraries.
• Experience with data integration, data privacy, and security best practices.
• Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment.
• Effective communication skills to convey technical concepts to non-technical stakeholders.
• Dedication to staying updated on AI and NLP advancements.