Creative and technically skilled AI Designer responsible for designing, developing, and implementing artificial intelligence solutions that enhance our products and services. This role requires a unique blend of technical expertise, creative problem-solving, and a deep understanding of user experience.

REQUIRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Human-Computer Interaction, or a related field.
• 3+ years of experience in AI design, development, or related roles.
• Strong understanding of machine learning algorithms, natural language processing, and computer vision.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Portfolio demonstrating AI design projects and implementations.

PREFERRED QUALIFICATIONS:

• Experience with deep learning and networks.
• Familiarity with cloud-based AI services (e.g., AWS, Google Cloud, Azure).
• Knowledge of UX/UI design principles and tools.
• Experience in agile development environments.
• Publications or contributions to AI research or open-source projects.
  The pay range for this position is $57.69-$76.92/hr

• Conceptualize and design AI-powered features and systems for various applications and platforms.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to develop and implement AI solutions.
• Create user-friendly interfaces and experiences for AI-driven products and services.
• Conduct research on emerging AI technologies and trends to inform design decisions and strategies.
• Develop prototypes and proof-of-concept models to demonstrate AI capabilities and potential applications.
• Optimize AI algorithms and models for improved performance and efficiency.
• Ensure ethical considerations are integrated into AI design and development processes.
• Participate in user testing and gather feedback to refine and improve AI designs.
• Document design processes, technical specifications, and best practices for AI implementation.
• Stay up-to-date with advancements in AI, machine learning, and related fields.