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AI Application Development Manager
Function
Technology
About the Role
The AI Application Development Manager is responsible for managing the development of AI-driven applications. They ensure that these applications are effective, user-friendly, and aligned with business goals, playing a critical role in the practical application of AI technologies.
Responsibilities
- Lead the planning, execution, and management of AI projects, ensuring they meet business requirements and are delivered on time and within budget.
Collaborate with various departments to identify opportunities for AI application to improve business processes and outcomes.
Design and implement AI strategies that align with the organization's goals and technology infrastructure.
Oversee the development of AI models and algorithms, ensuring they are accurate, efficient, and scalable.
Manage a team of AI developers, data scientists, and engineers, providing guidance and support to foster innovation and professional growth.
Establish best practices for AI development and integration, including coding standards, documentation, and testing protocols.
Monitor the performance of AI applications post
deployment and make necessary adjustments to optimize results.
Stay abreast of emerging AI technologies and industry trends to ensure the organization remains at the forefront of innovation.
Liaise with stakeholders to communicate the benefits and implications of AI projects, securing buy
in and facilitating change management.
Ensure compliance with data privacy regulations and ethical standards in the development and deployment of AI solutions.
Required Skills
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong programming skills in languages such as Python, Java, or R.
Proven experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
Excellent understanding of machine learning algorithms, data structures, and software development principles.
Strong project management skills and experience with agile methodologies.
Exceptional analytical and problem
solving abilities.
Effective leadership and team management skills.
Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non
technical stakeholders.
A commitment to continuous learning and staying current with AI advancements.
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