Machine Learning Operations (MLOps) Engineer at Interswitch Group

Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organisations on a timely and consistent basis. We started operations in 2002 as a transaction switching and electronic payments processing, and have progressively evolved into an integrated payment services company, building and managing payment infrastructure as well as delivering innovative payment products and transactional services throughout the African continent. At Interswitch, we offer unique career opportunities for individuals capable of playing key roles and adding value in an innovative and fun environment.

We are recruiting to fill the position below:

Job Title: Machine Learning Operations (MLOps) Engineer

Location: Lagos
Job type: Full-time

Job Summary

• The ideal candidate will be responsible for supporting and enhancing Interswitch’s machine learning operations (MLOps) ecosystem.
• He/she will ensure the seamless deployment, monitoring, and optimization of machine learning models while enabling data scientists and engineers to deliver innovative AI/ML solutions.

Job Responsibilities

• Deploy and manage machine learning models and pipelines, automate deployment processes, and monitor model performance in production environments.
• Collaborate with the infrastructure team to provision, configure, and maintain the necessary resources for machine learning workloads.
• Implement and maintain CI/CD pipelines for ML projects, ensuring seamless and efficient deployment processes.
• Monitor and optimize model performance, scaling resources as needed to accommodate increased workloads and maintain system stability.
• Maintain version control for machine learning models and associated codebase using industry-standard tools (e.g., Git).
• Work closely with data scientists, data engineers, data analysts, software engineers, and other cross-functional teams to ensure successful model deployments and integration.
• Adhere to security best practices and compliance requirements, ensuring data privacy and protection.
• Create and maintain documentation for MLOps processes and workflows.
• Diagnose and resolve issues related to machine learning pipelines, infrastructure, and deployments.

Educational Qualificationals and Experience

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• Minimum of 2 years in data science and/or 1-2 years in DevOps role.
• 1-2 years in a data role for reporting purposes such as operations reporting, statistics, etc.

Application Closing Date
Not Specified.