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Innovations Developer – AI/ML at Equity Bank Kenya

Expired
Job Overview
Employment FullTime
Location Nairobi Kenya
Experience Proven Experience
Education Level Bachelor's Degree
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Opportunities Meet Aspirations

Position Overview 

  • We are seeking a passionate and talented Junior Innovations AI/ML Developer to join our Group Banking, Insurance & Invest teams. This role is crucial to the development and implementation of cutting-edge AI products that will transform banking operations and customer experiences. The successful candidate will work on designing and 
  • constructing sophisticated machine learning models while improving and updating existing systems to drive innovation in financial services.

Key Responsibilities. AI/ML Development

  • Design, develop, and maintain AI/ML software solutions using cutting-edge technologies 
  • Build and deploy machine learning models for banking applications including fraud detection, risk assessment, and customer analytics 
  • Write clean, efficient, and maintainable code that adheres to industry best practices 
  • Collaborate with data scientists to translate research prototypes into production-ready solutions 
  • Implement and optimize algorithms for real-time decision-making systems 

Innovation s Research

  • Stay current with latest AI/ML trends and technologies in the financial services sector 
  • Contribute to the development of innovative banking products and services 
  • Participate in proof-of-concept projects and pilot programs 
  • Research and evaluate new AI/ML frameworks and tools for potential adoption 
  • Support the creation of intellectual property through documentation and patent applications 

Integration

  • Work closely with banking domain experts to understand business requirements 
  • Ensure AI/ML solutions comply with financial regulations and industry standards 
  • Integrate AI/ML capabilities into existing banking systems and workflows 
  • Support the implementation of automated compliance and risk management solutions 
  • Collaborate with cross-functional teams including product managers, engineers, and business analysts

Data Management & Analysis

  • Perform data cleaning, preprocessing, and feature engineering on large financial datasets 
  • Develop data pipelines for model training and inference 
  • Monitor model performance and implement continuous improvement processes 
  • Ensure data privacy and security standards are maintained throughout all processes 

Qualifications

Educational Background

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related field 
  • Fresh graduates with strong academic performance in AI/ML coursework are encouraged to apply 
  • Relevant certifications in AI/ML or cloud platforms (AWS, Azure, Google Cloud) preferred 

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