Expired 1 week ago
Machine Learning Engineer
full-time
Lagos
Share this job
Job Summary
As a Machine Learning Engineer, you will be responsible for designing, building, deploying, and maintaining production-grade machine learning systems that power data-driven products and decisioning platforms. You will work closely with data scientists, data engineers, and product teams to operationalize models, ensure scalability, reliability, and performance, and support business objectives across credit lending, fraud detection, and customer intelligence.
Job Details
RESPONSIBILITIES:
Machine Learning Model Deployment
- Implement end-to-end machine learning systems from data ingestion to deployment and monitoring.
- Expose models via RESTful APIs using FastAPI or Flask for integration with internal platforms.
- Ensure models are scalable, reliable, and optimised for low-latency production use cases.
AI & Large Language Models
- Integrate Large Language Models (LLMs) into production systems for tasks such as agentic chatbot, credit decisioning, and internal tooling.
- Deploy and manage LLM-powered services using APIs, prompt engineering, and retrieval-augmented generation (RAG) techniques.
- Collaborate on fine-tuning, evaluation, and monitoring of LLM-based solutions.
Cloud, MLOps & Model Monitoring
- Deploy and manage ML workloads on AWS and/or GCP using cloud-native services.
- Implement CI/CD pipelines, model versioning, and automated retraining workflows.
- Monitor model performance, drift, and system health to ensure long-term reliability.
Data Governance & Compliance
- Ensure compliance with data privacy and security standards, when working with sensitive financial and credit data.
- Document data sources, methodologies, and model parameters to ensure transparency and reproducibility.
Requirements
- 6+ years in Product Management or Data Analytics, with a proven track record of driving growth in a FinTech or high-volume digital environment.
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field.
- Minimum of 4 years of experience in machine learning engineering or a related role.
- Hands-on experience deploying machine learning models into production environments.
- Strong experience with Python and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
- Experience working with financial, credit, fraud, or transactional data is highly preferred.
- Exposure to MLOps practices, monitoring, and model lifecycle management
Technical;
- Statistical Analysis & Modelling: Strong knowledge of statistical and machine learning techniques to create models that support risk assessment and lending decisions.
- Programming & Scripting: Proficiency in Python for data manipulation, model building, and automation.
- Cloud Computing: Experience with GCP and AWS for data storage, model deployment, and scalable computing.
- Financial Data Analysis: Understanding of credit lending and credit risk data, with the ability to work within the regulatory constraints of financial data.
- LLM & NLP Familiarity with large language models for analysing unstructured text data in financial contexts.
- Tools: Python , Jupyter Notebooks, TensorFlow, PyTorch, Scikit-Learn, Apache Spark, SQL, FastApi, Flask
What to Expect in the Hiring Process:
- A preliminary phone call with the recruiter
- Technical interview
- Assessment
- Interview with Senior members of the team
- Cultural and Behavioural Fit Interview with a member of the Executive team.
Benefits
At Credit Direct Finance Company Limited, we value our employees and strive to provide a comprehensive benefits package that recognizes their contributions and supports their well-being. As part of our commitment to a positive work environment, we offer the following benefits:
Competitive Salary: We offer a competitive salary structure that is commensurate with industry standards and recognizes the skills and experience of our employees.
Quarterly Performance Pay: We recognize and reward exceptional performance. Our quarterly performance pay program allows employees to earn additional compensation based on their individual and team achievements.
Transport Subsidy: We understand the importance of accessible transportation for our employees. To assist with commuting expenses, we provide a transport subsidy to help alleviate the financial burden associated with travel to and from work.
Staff Bus: We offer a convenient and reliable staff bus service for eligible employees, ensuring a comfortable and stress-free commute to the workplace.
Hybrid Work: We believe in providing flexibility and work-life balance. Our hybrid work policy allows eligible employees to work remotely for a certain number of days per week, promoting a healthy work-life integration.
13th Month Salary: As an additional financial benefit, we provide a 13th-month salary to our employees. This extra payment, usually received at the end of the year, serves as a bonus and acknowledges their dedication and commitment throughout the year.
Leave Allowance: We recognize the importance of taking time off for rest and relaxation. In addition to annual leave entitlement, we provide a leave allowance to eligible employees, offering financial support during their vacation time.
Profit Sharing: We believe in sharing our success with our employees. Through our profit-sharing program, eligible employees have the opportunity to receive a share of the company's profits, providing an additional incentive for their dedication and hard work.
These benefits are designed to support our employees' financial well-being, work-life balance, and professional growth. We continuously review and enhance our benefits package to ensure that it remains competitive and aligned with the needs and preferences of our valued employees.
About Company
Credit Direct Finance Company Limited
Credit Direct is the Fintech arm of the FCMB Group.