Assistant Manager-Google Cloud Platform Artificial Intelligence Modeller

Key Areas and Responsibilities:

• 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.

Key Areas and Responsibilities:

• 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.

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.

1. Prior Experience: 

• The candidate must have 6+ years of relevant experience in a similar role, particularly in a professional services firm / consulting / Big 4

1. Education / professional qualifications

• Postgraduate in relevant field

#KGS