UAE
Multimodal Vision AI Engineer (LLM Integration)
Duncan & Ross Consulting
- Industry Type
- Consulting, Management Consulting, Advisory Services
- Functional Area
- IT, Information Technology Industry Consulting, Management Consulting, Advisory Services
- Nationality
- Any
- Keywords
- Machine Learning
Job Description
Duncan & Ross Consulting is looking for a Multimodal Vision AI Engineer to design, develop, and implement vision solutions that interpret and describe visual data. The role focuses on integrating these solutions with artificial intelligence applications.
- Position
- Multimodal Vision AI Engineer (LLM Integration)
- Company
- Duncan & Ross Consulting
- Location
- Abu Dhabi, UAE
- Industry
- Consulting, Management Consulting, Advisory Services
- Experience
- 1 to 20 years
Responsibilities
- Design, develop, and implement multimodal vision solutions that interpret and describe visual data for integration with AI applications.
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About the role: Multimodal Vision AI Engineer (LLM Integration)
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Multimodal Vision AI Engineers specializing in Large Language Model (LLM) integration develop advanced artificial intelligence systems that combine visual data with language understanding. They typically work in consulting firms or technology companies, helping clients implement AI solutions that process and interpret images, videos, and text together.
What this role usually involves
- Design and develop AI models that integrate visual and language data.
- Collaborate with cross-functional teams to understand client needs and deliver AI solutions.
- Test and optimize multimodal AI systems for accuracy and performance.
- Stay updated with the latest research in AI, computer vision, and natural language processing.
- Document technical processes and provide training or support to users.
- Assist in deploying AI models into production environments.
Skills employers usually look for
- Strong programming skills in languages like Python.
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with computer vision techniques and tools.
- Understanding of natural language processing and large language models.
- Ability to work with multimodal datasets combining images and text.
- Problem-solving and analytical thinking skills.
Usual qualifications
- A degree in computer science, artificial intelligence, or a related field is usually expected.
- Background in machine learning or data science is often required.
- Experience or training in computer vision and natural language processing is beneficial.
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