Job Openings
Generative AI Solutions Specialist
About the job 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