Innovations Developer - AI/ML at Equity Bank Kenya

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