Assistant Manager- Azure Artificial Intelligence AI Modeller
KPMG India
Location
Bangalore | India
Job description
Job Description
Key Areas and Responsibilities:
Work with senor staff within the Digital Build Service and across KPMG Global to gather requirements / understand business purpose of solutions
Design Azure-based solutions for global member firms (to provide to clients), with an initial focus on Connected solutions
Design and train deep learning models such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
Work with Azure services such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics 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 Azure-based prototypes
Test and validate Azure-based solutions
Document Azure-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 Key Areas and Responsibilities:
Work with senor staff within the Digital Build Service and across KPMG Global to gather requirements / understand business purpose of solutions
Design Azure-based solutions for global member firms (to provide to clients), with an initial focus on Connected solutions
Design and train deep learning models such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
Work with Azure services such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics 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 Azure-based prototypes
Test and validate Azure-based solutions
Document Azure-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.
QUALIFICATIONS Skills/Tools Proficiency:
4+ years of experience in software development and systems engineering
3+ years of experience with Azure services
Experience with machine learning and data science
Experience with Azure DevOps
Experience with Agile development methodologies
Microsoft Certified Azure Solutions Architect Expert
Microsoft Certified Azure Developer Associate
Microsoft Certified Azure Machine Learning Scientist.
Experience in building AI solutions (with preference for Generative AI solutions specifically).
Prior Experience:
The candidate must have 8-12 years of relevant experience in a similar role, particularly in a professional services firm / consulting / Big 4
