Stanbic IBTC Holdings PLC is a full service financial services group with a clear focus on three main business pillars - Corporate and Investment Banking, Personal and Business Banking and Wealth Management. Stanbic IBTC Bank legally became part of Standard Bank Group 24th August 2007. The Standard Bank Group merged its Nigerian operations, Stanbic Bank Nigeria with that of IBTC Chartered Bank PLC. Stanbic IBTC Bank is a major financial service provider engaged in personal banking, business banking, credit cards, corporate banking, non-interest banking and wealth and investment banking in Nigeria. We offer all our clients a wide range of personal & commercial banking products through over 180 branches spread across every state in Nigeria and our online banking platforms. We offer current, savings, and domiciliary accounts; personal loans, vehicle and asset finance; MasterCard debit cards, Visa credit cards; home loans; internet banking; small and medium scale enterprise (SME) loans and the award-winning *909# MobileMoney. We cater for both individuals and businesses through carefully designed retail and business banking products. We also offer self-service channels powered by sophisticated technology to bring convenient banking to customers. Our clients can also get custodial services through Stanbic Nominees Nigeria Limited, our custody arm and non-pension asset custodian, acting in a nominee capacity for clients’ transactions in securities and other investments. We are a key player in financial inclusion and are poised to take banking to the doorsteps of our customers; taking care of the banking needs of different categories of persons and businesses.
To ensure the seamless deployment, monitoring, automation, and lifecycle management of AI/ML systems across the enterprise. The role ensures robust MLOps and AIOps capabilities, supports Data Scientists in operationalizing models, manages production workloads including LLMs, RAG pipelines, and predictive models and ensures compliance with governance and regulatory requirements.
- Support execution of the bank’s Data Science & AI strategy through reliable ML/AI operationalization.
- Design, build, and maintain end-to-end MLOps/AIOps pipelines for scalable deployment and monitoring.
- Manage CI/CD pipelines for model deployment, automated testing, and infrastructure-as-code.
- Automate retraining, model evaluation, and drift detection processes.
- Monitor model performance, stability, latency, and data quality across production systems.
- Implement observability tools for logs, metrics, explainability, and failure recovery.
Qualifications
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or related fields.
- Master’s Degree or certifications in Azure ML, AWS ML, Kubernetes, MLOps, DevOps, or Cloud Engineering can be an advantage.
Experience
- 4–6+ years in Machine Learning Engineering, MLOps, AIOps, or related roles.
- Experience supporting Data Scientists with model operationalization and deployment.
- Strong background managing production AI systems, including LLMs, RAG pipelines, and predictive models.
- Experience with Azure, Kubernetes, Docker, MLflow, Databricks, CI/CD, and model monitoring tools.
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Examining Information
- Exploring Possibilities
- Providing Insights
- Team Working
Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
Method of Application
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