AI / MLOps Developer 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: AI / MLOps Developer

Location: Lagos

Job Summary

• We are seeking a highly skilled AI/MLOps Developer to join our team. The ideal candidate will have a strong background in machine learning operations, model deployment, and managing ML pipelines.
• This role requires a deep understanding of AI/ML workflows and the ability to optimize and maintain AI models in production.

Responsibilities

• Model Development and Deployment: Design, develop, and deploy machine learning models into production environments, ensuring scalability and reliability.
• Pipeline Automation: Build and maintain automated ML pipelines to streamline model training, testing, and deployment processes.
• Monitoring and Optimization: Monitor deployed models for performance and accuracy, implementing retraining and optimization strategies as needed.
• Infrastructure Management: Manage cloud-based and on-premise infrastructure to support the training and deployment of ML models, ensuring cost efficiency and scalability.
• Security and Compliance: Implement and maintain robust security practices to protect sensitive data and ensure compliance with relevant regulations.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders to integrate ML models into applications and systems.
• Documentation: Maintain comprehensive documentation of ML pipelines, deployment processes, and model performance metrics.
• Continuous Improvement: Stay updated with the latest advancements in AI/ML and DevOps practices, and apply this knowledge to improve existing systems and processes.
• Troubleshooting: Identify and resolve issues related to model deployment, performance, and infrastructure on time.

Requirements
Required Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Experience: Proven experience in AI/MLOps or a similar role, with hands-on experience in deploying and managing machine learning models.
• Technical Skills:
• Proficiency in programming languages such as Python, and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Knowledge of cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with CI/CD tools and processes for ML pipelines.
• Strong understanding of version control systems (e.g., Git, BitBucket).
• Experience with monitoring and logging tools for model performance tracking.

Preferred Qualifications:

• Experience with advanced topics like distributed training, model explainability, and ethical AI considerations.
• Familiarity with data engineering practices and tools like Apache Spark or Hadoop.
• Contributions to open-source projects related to AI/MLOps.
• Understanding of software development best practices, including Agile methodologies.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online