Halal Certified

Machine Learning Engineer

Build ML models for fraud detection, credit risk assessment, and personalized banking experiences.

Engineering
Remote / Hybrid / Dakar, Senegal
Full-time
Machine Learning Engineer

Machine Learning Engineer

Faratech Islamic Bank is seeking a Machine Learning Engineer to join our data science team. You'll build and deploy ML models for fraud detection, credit risk assessment, customer segmentation, and personalized banking experiences while ensuring ethical AI practices aligned with Islamic finance principles.

About the Role

As a Machine Learning Engineer at Faratech, you'll work on cutting-edge ML applications in banking, from fraud detection systems to credit scoring models. You'll collaborate with data engineers, product teams, and compliance to build models that are both effective and ethical.

Key Responsibilities

  • Design, develop, and deploy machine learning models for banking applications
  • Build fraud detection and prevention systems
  • Develop credit risk assessment and scoring models
  • Create customer segmentation and personalization models
  • Implement ML pipelines for training, validation, and deployment
  • Work with large datasets and ensure data quality
  • Monitor model performance and implement improvements
  • Ensure models comply with ethical AI principles and regulations
  • Collaborate with data engineers on data infrastructure
  • Present findings and recommendations to stakeholders
  • Stay current with ML research and industry best practices
  • Document models, processes, and methodologies

Requirements

  • 3+ years of experience in machine learning or data science
  • Strong programming skills in Python or R
  • Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Knowledge of statistical modeling and evaluation methods
  • Experience with data processing and feature engineering
  • Understanding of MLOps and model deployment
  • Strong problem-solving and analytical skills
  • Excellent communication skills for technical and non-technical audiences
  • Bachelor's or Master's degree in Computer Science, Statistics, or related field

Preferred Qualifications

  • Experience in fintech or banking industry
  • Knowledge of fraud detection and credit risk modeling
  • Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform)
  • Knowledge of deep learning and neural networks
  • Experience with real-time ML systems
  • Understanding of ethical AI and fairness in ML
  • PhD in relevant field
  • Publications or contributions to ML research

What We Offer

  • Competitive salary and equity package
  • Remote-first work environment with flexible hours
  • Health insurance and wellness benefits
  • Professional development budget and conference attendance
  • Opportunity to work on impactful ML problems
  • Access to cutting-edge tools and infrastructure
  • Collaborative and research-oriented team culture

Apply

Send your resume and cover letter to careers@faratech.africa with the subject line "Application: Machine Learning Engineer".

Why Join Faratech?

Ethical Mission

Work on meaningful projects that align with Islamic finance principles and make a positive impact.

Growth Opportunities

Continuous learning and professional development in a fast-growing fintech company.

Great Team

Collaborate with talented professionals who share your values and passion for innovation.

Sharia-Compliant

Be part of a bank that operates with complete transparency and ethical standards.

Ready to Join Us?

Send your resume and cover letter to our careers team. We'd love to hear from you!

Apply via Email

careers@faratech.africa