Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing and payment infrastructure to government, banks and corporate organizations. Interswitch, through its “Super Switchâ€Â provides online, real-time transaction switching that enable businesses and individuals have access to their funds across the 24 banks in Nigeria and across a variety of payment channels such as Automated Teller Machines (ATMS), Point of Sale (PoS) terminals, Mobile Phones, Kiosks, Web and Bank Branches.
Job Summary
- Our Innovation Hub is seeking a highly skilled and experienced DevOps with a bias for machine Learning Models and operations to join our dynamic team. As a DevOps Engineer, you will play a crucial role in enhancing our machine learning workflows, managing the deployment and scaling of models, and ensuring the seamless integration of machine learning operations with our infrastructure.
Responsibilities
- Lead the design, development, and implementation of advanced machine learning models and algorithms to solve business problems.
- Collaborate with cross-functional teams to identify key business questions and develop data-driven solutions.
- Utilize statistical analysis, data mining, and predictive modelling techniques to uncover patterns and trends in large datasets.
- Work closely with stakeholders to understand business objectives and translate them into analytical solutions.
- Mentor and guide junior data scientists, providing technical leadership and expertise.
- Stay abreast of the latest developments in data science, machine learning, and related fields to ensure the application of cutting-edge techniques.
Position Requirements
- BSc in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
- Proven experience as a Data Scientist, with a focus on designing and implementing machine learning models.
- Proficiency in Python and SQL, experience with data manipulation and analysis libraries (e.g., pandas, polars, NumPy, scikit-learn).
- Strong expertise in statistical analysis, data visualization, and feature engineering.
- Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
Preferred:
- Experience with big data technology such as Spark and cloud platforms (e.g., AWS, Azure) is a plus
Method of Application
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