Work with senior staff within the Digital Build Service and across KPMG Global to gather requirements / understand business purpose of solutions
Design and develop GCP-based solutions for global member firms (to provide to clients), with an initial focus on Trusted solutions
Develop and apply techniques for interpreting the output of machine learning models, including methods like SHAP values, LIME, and integrated gradients.
Work with Google Cloud services such as AutoML, Cloud TPU, Dialogflow API, Cloud Vision API, Cloud Speech API, and Cloud Translate API to develop and deploy AI models.
Develop NLP models using techniques such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis.
Develop and implement CGP-based prototypes
Test and validate GCP-based solutions
Document CGP-based solutions
Provide technical support to / respond to queries from global member firms on solutions.
Attributes
Strong problem-solving skills
Ability to work independently and as part of a team
Excellent communication and interpersonal skills
Attention to detail
Flexibility to join calls outside core working hours, as a member of an international team.
Responsibilities
QUALIFICATIONS
Skills/Tools Proficiency
4+ years of experience in software development and systems engineering
3+ years of experience with GCP AI services
Experience with machine learning and data science
Experience with GCP DevOps
Experience with Agile development methodologies
Experience in building AI solutions (with preference for Generative AI solutions specifically).
Google Cloud Certified Professional Cloud Architect
Google Cloud Certified Professional Data Engineer
Google Cloud Certified Professional Machine Learning Engineer.
Prior Experience:
The candidate must have 6+ years of relevant experience in a similar role, particularly in a professional services firm / consulting / Big 4
