CTO AI Application Architect

KPIT Technologies GmbH

Data Science Analytics & Machine Learning

149+ Applicants

Posted: 11 months ago

5-9 years

Maharashtra, Pune

Work from Office

Posted: 11 months ago

Applicants: 149+

Job Description

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Job Description

As an AI Application Architect, you will be responsible for leading the design and development of artificial intelligence (AI) and machine learning (ML) applications within our organization. Your role will involve collaborating with cross-functional teams to create scalable and secure AI solutions that drive business value.

Your key responsibilities will include developing a deep understanding of the organization's AI strategy and architecture to design and implement AI applications that meet business requirements. You will work closely with data scientists and engineers to develop and deploy AI/ML models using technologies like deep learning, natural language processing, and computer vision. Additionally, you will design and implement AI applications on cloud platforms such as AWS, Azure, or Google Cloud to ensure scalability, security, and compliance.
In this role, you will be expected to evaluate and recommend new AI/ML technologies, tools, and frameworks while also collaborating with various teams to ensure timely delivery of AI applications that meet business needs. You will play a crucial role in ensuring that all AI applications are designed and implemented with security and compliance in mind, adhering to relevant regulations and standards.
Monitoring AI application performance, identifying areas for optimization, and developing strategies to improve efficiency and effectiveness will also be part of your responsibilities.
To excel in this role, you should have strong technical skills in programming languages like Python, Java, C++, AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, cloud platforms like AWS, Azure, Google Cloud, containerization tools like Docker, Kubernetes, and knowledge of security and compliance standards like GDPR, HIPAA. Furthermore, soft skills such as effective communication, collaboration, ability to work in a fast-paced environment, meet deadlines, and strong problem-solving abilities will be essential for success in this position.,

Skills

CPythonJavaKubernetesCloudScikitlearnAWSCGoogle CloudKubernetesJavaAzureHIPAAPyTorchPythonGDPRDockerTensorFlow

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Important dates & deadlines?

Application Deadline

20 Oct 25, 11:49 AM IST

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