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Manager - AI Development at KPMG
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

TensorFlow, PyTorch, Copilot Studio, Keras, React.js, Angular, Vue.js, Node.js, Python, Azure, CI/CD, Docker, Kubernetes, Low Code, No Code

Industry

Business Consulting and Services

Description
The position in discussion is with the IT team at KGS,  As a Manager in theIT team, your responsibilities will include: •Work on design and development of AI models and algorithms using frameworks such as TensorFlow, PyTorch, Copilot studio and Keras. •Develop and code robust AI components, services, and libraries, ensuring they are scalable, maintainable, and optimized for performance. •Build and optimize user interfaces using modern frontend frameworks such as React.js, Angular, or Vue.js. •Develop robust backend systems using Node.js, Python, or similar technologies, with a focus on API development and data management. •Deploy AI models and services in cloud environments, primarily using Azure, ensuring scalability, reliability, and security. •Implement CI/CD pipelines, Docker containers, and Kubernetes for efficient AI model deployment and management. •Drive digital transformation – deploy small to medium scale automations using “low code/no code” technologies •Work closely with product and testing teams to ensure that AI products are developed/ launched according to specifications and timelines. •Ensure that AI solutions comply with KPMG’s data privacy, security, and regulatory requirements. •Optimize models for performance, speed, and resource efficiency, particularly when working with cloud platforms such as Azure.
Responsibilities
The Manager - AI Development will be responsible for the design and development of AI models and algorithms using various frameworks, and for building robust backend systems and optimizing user interfaces. This role also involves deploying AI services in cloud environments like Azure and implementing efficient CI/CD pipelines for model management.