AI Applications- Sr. Expert

Overview:

An AI Application Sr. Expert is responsible about design, develop, and deploy advanced artificial intelligence solutions. In this role, you will be responsible for building robust AI models, ensuring their performance and scalability, and translating complex client requirements into effective technical implementations. You will also play a key part in driving innovation and maintaining best practices within the AI team.

Responsibilities:

Architect, develop, and deploy sophisticated AI applications tailored to client and ADC’s needs.

Analyze and interpret complex client requirements, translating them into practical AI model specifications.

Continuously monitor, evaluate, and fine-tune AI applications to ensure optimal performance and reliability.

Collaborate closely with data scientists and machine learning engineers to design, integrate, and enhance ML models.

Stay abreast of the latest advancements in AI, machine learning, and related technologies, and actively incorporate them into solution design.

Produce clear, high-quality technical documentation and solution blueprints.

Ensure AI applications are aligned with client objectives and meet functional and technical requirements.

Lead rigorous testing, validation, and debugging processes to guarantee solution quality.

Contribute to the design of intuitive, user-centric interfaces for AI-driven applications.

Compliance with AI ethics, governance frameworks, and ADC’s data privacy regulations.

Qualifications:

Education:

Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, or a closely related field (Master’s preferred).

Experience:

+ 8 years of experience in Artificial Intelligence applications.

Extensive hands-on experience in developing and deploying AI and machine learning solutions, with a track record of applying them to real-world software systems.

Skills:

Strong knowledge of AI/ML frameworks, algorithms, and system optimization techniques.

Proven ability to work independently on complex problems as well as effectively collaborate within multidisciplinary teams.

Show more Show less