AI-driven Banking Automation

leading-edge; Dubai; On-site; AED 250,000 - 450,000; Full time

Job summary

leading-edge seeks an AI-driven Banking Automation Specialist in Dubai to design, develop and implement AI-powered banking automation solutions. You will build NLP-based systems and AI models to streamline processes and improve customer interactions.

Responsibilities include deploying AI chatbots, automating transaction processing, risk management, and collaborating with cross-functional teams to scale AI solutions while maintaining compliance with banking regulations.

Qualifications

• Strong background in machine learning and NLP.
• Experience with banking operations and regulatory requirements.
• Proficiency in Python, Java, or C.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and deploy AI-powered chatbots and virtual assistants for customer service.
• Design and implement ML models to automate banking processes like transaction processing and risk management.
• Collaborate with cross-functional teams to identify automation opportunities and implement AI-driven solutions.
• Analyze and optimize AI model performance for accuracy and efficiency.
• Stay updated on AI and banking industry trends.

Skills

Machine learning

NLP

AI

Python

Java

C

TensorFlow

PyTorch

Keras

Analytical thinking

Tools

TensorFlow

PyTorch

Keras

Job description

Job Title: AI-driven Banking Automation Specialist
Location: Dubai

Job Summary:

Our client is seeking an experienced AI-driven Banking Automation Specialist to design develop and implement AI-powered solutions for automating banking processes. The ideal candidate will have expertise in machine learning natural language processing and banking operations.

Key Responsibilities:

• Develop and deploy AI-powered chatbots and virtual assistants for customer service and support
• Design and implement machine learning models for automating banking processes such as transaction processing and risk management
• Collaborate with cross-functional teams to identify automation opportunities and implement AI-driven solutions
• Analyze and optimize AI model performance ensuring accuracy and efficiency
• Stay up-to-date with industry trends and emerging technologies in AI and banking

Requirements:

• Strong background in machine learning NLP and AI
• Experience with banking operations and regulatory requirements
• Proficiency in programming languages such as Python Java or C
• Experience with AI frameworks and tools such as TensorFlow PyTorch or Keras
• Strong analytical and problem-solving skills