Lead Data Science and AI

Job Description

What you will be doing?

• Oversee the end-to-end development and deployment of machine learning and artificial intelligence models to solve complex business problems and drive data-informed decision-making.
• Manage the lifecycle of ML models, including versioning, retraining, and monitoring for performance.
• Collaborate with cross-functional teams to integrate ML solutions into production systems, ensuring seamless deployment and maintenance.

Who You Are

• Proven expertise in AI/ML techniques, including traditional models (regression, classification, clustering) and advanced models (ensemble methods, neural networks, reinforcement learning).
• Proficiency in cloud-based ML platforms, particularly Azure Machine Learning, Azure Data Lake, and Azure Kubernetes Service (AKS).
• Advanced programming skills in Python, R, or Scala, and familiarity with frameworks like Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.

Hiring Process

• Apply on Wema Bank Plc's career site
• Interview process
• Offer and onboarding