الإمارات
Applied AI Product Engineer - NLP & AI Solutions
Revolut
- Industry Type
- Accounting, Auditing
- Functional Area
- IT, specifically focusing on AI and Machine Learning Industry Accounting, Auditing
- Nationality
- Any
- Keywords
- Natural Language Processing NLP Artificial Intelligence AI Product Vision Roadmap Development Collaborative Work with Data Scientists and Softwar
Job Description
Revolut is looking for an Applied AI Product Engineer in Abu Dhabi, UAE. The role involves leading the development and delivery of AI-powered features, working with Data Scientists and Software Engineers to implement NLP and AI solutions.
- Position
- Applied AI Product Engineer - NLP & AI Solutions
- Company
- Revolut
- Location
- Abu Dhabi, UAE
- Industry
- Accounting, Auditing
- Experience
- 1 to 20 years
Responsibilities
- Own the product vision, roadmap, and delivery of AI-powered features.
- Collaborate with Data Scientists and Software Engineers to deploy NLP and AI solutions.
- Shape the product from conception to launch and beyond.
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About the role: Applied AI Product Engineer - NLP & AI Solutions
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.
Applied AI Product Engineers specializing in NLP and AI solutions develop and implement artificial intelligence technologies to enhance products and services, often focusing on natural language processing. They typically work in industries like accounting and auditing, helping to automate and improve data analysis and decision-making processes.
What this role usually involves
- Design and develop AI models and algorithms for natural language processing tasks.
- Integrate AI solutions into existing products and workflows.
- Collaborate with cross-functional teams including data scientists, software engineers, and business analysts.
- Test and optimize AI models to ensure accuracy and efficiency.
- Stay updated with the latest AI research and technologies to apply best practices.
- Document technical processes and provide support for AI product deployment.
Skills employers usually look for
- Strong programming skills in languages such as Python or Java.
- Knowledge of machine learning frameworks and NLP libraries.
- Ability to analyze and preprocess large datasets.
- Understanding of AI model training, evaluation, and deployment.
- Problem-solving and critical thinking skills.
- Good communication and teamwork abilities.
Usual qualifications
- A degree in computer science, artificial intelligence, or a related field.
- Experience or training in machine learning and natural language processing.
- Familiarity with software development and engineering principles.
- Continuous learning mindset to keep up with AI advancements.
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