AI Applications developer

An AI app developer's job centers on designing, building, integrating, and maintaining a user application with AI-enabled features and workflows for work process productivity improvement. This involves end-to-end software development, collaboration with multidisciplinary teams, and continuous optimization of AI-powered functions. This profile outlines the key aspects of an AI Application Developer's role, focusing on designing and developing AI solutions that enhance user interactions.

This is a new position in which you will build an application specifically for Samsung as an interface for AI.

Role and Responsibilities

Design and Development *

• Design and develop AI-powered (user) applications and solutions.
• Collaborate with cross-functional teams to define and implement innovative AI features.

Model Integration *

• Integrate machine learning models into applications, ensuring seamless user experiences.
• Optimize AI models for performance, scalability, and accuracy.

User Interaction Design *

• Design intuitive interfaces for AI applications, focusing on user-friendly interactions.
• Implement natural language processing (NLP) capabilities to enable conversational AI experiences.

Testing and Debugging *

• Conduct thorough testing of AI applications to ensure functionality and reliability.
• Debug and resolve issues related to AI model performance and user interactions.

Data Management *

• Collect, preprocess, and manage data for training and improving AI models.
• Ensure data privacy and compliance with relevant regulations.

Continuous Improvement *

• Analyze user feedback to enhance AI application features and interactions.
• Stay updated with the latest AI technologies and trends to innovate and improve solutions.

• Proficiency in full-stack web application framework, such as Angular or Django and programming languages accordingly such as Python, Java, or C++. o Coding and Debugging: Ability to write clean, efficient code and debug effectively.

• Cloud Platforms: Experience with cloud services like AWS, Google Cloud, or Azure for deploying web applications, preferably AI applications.

• Experience in GenAI integration to web applications

• Strong understanding of Generative AI, machine learning algorithms and NLP techniques.

• Experience with AI frameworks (e.g., TensorFlow, PyTorch) would be beneficial

• Problem-Solving: Strong analytical and problem-solving skills to tackle complex technical challenges.

• Collaboration: Ability to work in teams and communicate technical concepts clearly.

• Soft Skills

• Excellent problem-solving and analytical skills.
• Strong communication skills to collaborate with team members and stakeholders.
• Creativity and innovation in designing user-centric AI solutions.
• Good knowledge of the English language.