AI/ML Engineer

Company Name: Migra Pay Inc.

Job Description:

We’re looking for a highly motivated AI/ML Engineer to help build and scale the intelligence layer powering fraud detection, smart compliance, user personalization, and real-time decision-making at MigraPay. This role is ideal for someone who thrives in a startup environment, understands the complexities of financial data, and is passionate about applying machine learning to solve real-world problems.

Key Responsibilities

• Design, train, test, and deploy machine learning models for:
• Transaction fraud detection
• KYC/AML risk scoring
• User segmentation and behavioral predictions
• Dynamic FX margin/pricing optimization
• Work with structured and unstructured financial data to build real-time data pipelines.
• Integrate third-party ML APIs and datasets (e.g., Onfido, SEON) where necessary.
• Collaborate with engineering, product, and compliance teams to turn models into production-grade features.
• Continuously monitor model performance and retrain to maintain accuracy and relevance.
• Implement A/B testing frameworks for ML-based features (e.g., rate recommendations, user engagement triggers).
• Develop documentation, notebooks, dashboards, and decision logs for model explainability and audit purposes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 2–5 years of experience in building and deploying ML models in production.
• Strong knowledge of Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with real-time data processing (e.g., Kafka, Spark, or Airflow) is a plus.
• Familiarity with fraud detection, anomaly detection, or credit scoring models is an advantage.
• Understanding of API integration and microservices.
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.

Preferred Skills

• Knowledge of financial data, payment fraud patterns, or compliance workflows.
• Experience working with identity verification data (e.g., OCR, face match).
• Strong understanding of data privacy, explainability, and ethical AI principles.
• Familiarity with Git, CI/CD, and containerized environments (Docker/Kubernetes).

What We Offer

• Opportunity to lead AI initiatives in a growing fintech startup
• Fully remote, flexible work setup
• Exposure to international markets and cross-border financial systems
• Competitive compensation aligned with skills and experience
• High-impact role with room to grow

Note: Incomplete screening questions will result in automatic disqualification.

Application Question(s):

• Briefly explain how you would build a model to detect fraudulent transactions in real-time.
• What machine learning algorithms have you used for classification tasks, and when would you choose XGBoost over logistic regression?
• Have you integrated ML models into a backend API or production system? Describe the tools or workflow used.
• How would you design a basic system to score transaction risk using ML?
• Which ML libraries and tools do you use most frequently (e.g., scikit-learn, TensorFlow, PyTorch), and for what types of problems?
• Explain your approach to handling imbalanced datasets when building classification models.
• What’s your experience working with streaming data (e.g., Kafka, real-time transaction pipelines)?

Job Type: Full-time

Pay: ₦600,000.00 – ₦700,000.00 per month

Location: Lagos

Job Posted: 28th May 2025