Generative AI Solutions Specialist

Job Responsibilities:

• Solution Exploration and Assessment:
  • Research and analyze the latest developments in generative AI technologies.
  • Identify potential use cases that align with business objectives.
  • Evaluate various generative AI tools and platforms to determine suitability for implementation.
• Implementation:
  • Collaborate with cross-functional teams to design, develop, and implement generative AI solutions.
  • Lead pilot projects to test the effectiveness of proposed solutions before full-scale deployment.
  • Monitor performance metrics post-implementation to assess impact and identify areas for improvement.
• Collaboration:
  • Work closely with data scientists, engineers, business user PIC, and other stakeholders to ensure alignment on project goals.
  • Foster a culture of innovation by encouraging feedback from users regarding their experiences with implemented solutions.
• Continuous Improvement:
  • Stay updated on industry trends related to generative AI advancements.
  • Proactively seek opportunities for optimization based on user feedback or emerging technologies.

Job Requirements:

• Bachelors degree in computer science, Data Science, AI, or a related field.
• Proven experience (1+ years) working with artificial intelligence or machine learning technologies; experience specifically with generative models is highly desirable.
• Strong understanding of large language models (LLM), computer vision (CV), or other relevant areas of generative AI.
• Experience and skills in Python or other programming languages
• Knowledge and experience in using AWS or other cloud services
• Experience in project management methodologies; ability to manage multiple projects simultaneously while meeting deadlines.
• Excellent communication skills with an ability to explain complex concepts in an understandable manner tailored for diverse audiences.
• Strong analytical skills with a problem-solving mindset; ability to derive insights from data effectively.

EA Personnel Name: Nicholas Poh
EA Personnel No: R24123432
EA License No: 16C8443