AI / ML ENGINEER AT CONTEC GLOBAL GROUP | AI JOBS IN LAGOS

About Company:

 Established in 1984 and headquartered in London, the Contec Global Group has a worldwide presence, with operations in Asia, Africa, and Europe. As a company established on the platform of e-Governance and smart technologies, Contec Global is among the most experienced independent technology and systems organizations operating in developing countries.

Job Description:

• Perform exploratory data analysis, feature engineering, and statistical modeling to identify patterns and improve machine learning model accuracy

• Manage data cleaning, preprocessing, and balancing of large-scale, complex fintech datasets

• Design and execute experiments, including A/B testing, to measure and validate business impact of ML models

• Build, train, and deploy machine learning models for fraud detection, credit scoring, risk assessment, and personalized recommendations

• Collaborate with DevOps teams to develop and maintain reliable, scalable data pipelines for ML workflows

• Optimize models for high performance, scalability, and low-latency execution in production fintech systems

• Apply explainable AI (XAI) methods to ensure model transparency, regulatory compliance, and trustworthiness in financial applications

• Continuously monitor, evaluate, and retrain deployed models using real-time feedback loops

• Contribute to API design for model inference and seamless integration into fintech platforms and applications

• Stay up to date with advanced AI/ML innovations, including graph machine learning, anomaly detection, and NLP for KYC and regulatory use cases

Requirements:

• Strong foundation in statistics, hypothesis testing, and classical machine learning algorithms

• Advanced programming skills in Python, with experience using Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch

• Proficiency with Jupyter Notebooks and data visualization libraries such as Matplotlib and Seaborn

• Solid experience with SQL and working knowledge of big data frameworks like Spark, Dask, or similar technologies

• Practical experience deploying ML models through APIs, Docker, or cloud platforms (AWS, GCP, Azure, or Huawei Cloud)

• Familiarity with real-time data processing and streaming systems such as Kafka, NATS, or similar pipelines (a plus)

• Domain knowledge in fraud detection, anomaly detection, and credit risk modeling within fintech environments

• Experience using workflow orchestration tools like Apache Airflow or Prefect for managing ML pipelines

• Understanding of regulatory compliance frameworks relevant to fintech, including PCI DSS and NDPR

Qualifications and Skills:

• Education: Bachelor’s or Master's in Computer Science, Data Science, Engineering, or related field.
• Experience: 3–5 years of experience in AI/ML engineering, preferably in FinTech, banking, or payments.

Salary

Application Closing Date: Not specified

Application Instructions:

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