Assistant Manager-Google Cloud Platform Artificial Intelligence Modeller
Bengaluru, Karnataka, India
KPMG India
KPMG is a global network of professional firms providing Audit, Tax and Advisory services.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.
- Prior Experience:
- The candidate must have 6+ years of relevant experience in a similar role, particularly in a professional services firm / consulting / Big 4
- Education / professional qualifications
- Postgraduate in relevant field
#KGS
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Consulting DevOps Engineering GCP Generative AI Google Cloud Machine Learning ML models NLP
Region:
Asia/Pacific
Country:
India
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Category:
Leadership Jobs
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