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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.

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.

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About the job

• To develop and manage a reliable lending platform across Africa, in a manner that supports smooth transitioning of Lenders from the traditional lending model to digital, thereby enabling financial institutions to explore the power of FinTech to support business scalability, and increased market share. This is enabled through the provision of unique services such as electronic channels, reliable data, disbursement, and collection services to support the automated credit underwriting process.

RESPONSIBILITIES

• Seeks out and forges relationships with credit service providers, banks, aggregators, and potential allies that can help grow and enrich the lending services proposition of Interswitch.
• Develops business value propositions for lending services, including nano and micro credit processing solutions offered by Interswitch.
• Grows the business into new customer and market segments in line with company strategy.
• Uses defined Key Performance Indicators to track credit business performance and market share.
• Produces business case documents for the development of new product or service offerings.
• Develops proposals in response to RFPs and delivers credit business sales presentations.
• Conducts seminars and participates in meetings with clients, external vendors, or advisors.
• Collaborates with relevant Interswitch teams to support newly acquired customers through the transition from project completion to transaction generation.
• Defines and sets business development and revenue targets for the unit and subordinates.
• Monitors team activities to ensure budgeted revenue and service targets are achieved.
• Analyses credit business performance and develops tactical initiatives to bridge identified gaps using data from the lending services portal.
• Communicates customer requirements to the Product, Operations, and Project teams to ensure delivery aligns with contractual terms.
• Ensures compliance of the team with Interswitch’s business development and account management policies and procedures.
• Reviews legal documentation with prospective partners or customers to close sales or develop new business.
• Drafts MOUs, NDAs, SLAs, and OLAs for review and submission to the Legal team.
• Supports preparation of financial statements and forecasts.
• Conducts market research and analysis; monitors internal and external environments for new market development opportunities (regular, micro, and nano loan products).
• Assists in developing customer evaluation processes and provides feedback to the Head, Credit Business for market-aligned product development.
• Stays abreast of trends in payment technology, digital credit solutions, and micro/nano loan product practices.
• Receives and utilises credit customer feedback for continuous improvement of products and services.
• Conducts post-sales engagements by visiting customers to gather service improvement insights.
• Monitors and tracks competing products and market activities.
• Gathers intelligence on competition regarding pricing, customer experience, local market presence, partnerships, and credibility.
• Documents and maintains competitor analysis findings for the division.
• Organises quarterly competitor analysis reviews.
• Prepares and submits periodic activity reports to the Head, Credit Business for decision-making.
• Handles all inquiries from credit customers or partners.

Education:

General Education:

• A postgraduate degree in Business Management/Administration, Information Technology, Finance, Sales and Marketing, or a related field.

Experience:

General Experience:

• Minimum of 10 years of extensive experience in business development roles, ideally within reputable financial institutions or the payments industry, including at least 8 years of customer-facing and lending services experience in the FinTech space.

Managerial Experience:

• Minimum of 5 years of experience in planning, managing, and organising teams and resources within defined timelines and organisational policies to achieve specific outcomes.