Support the deployment and integration of machine learning models into existing systems and applications.
Monitor model performance and assist in troubleshooting or improving models when necessary.
Work closely with cross-functional teams including software engineers, data analysts, and product teams to understand business requirements and deliver solutions.
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Data modelling and schema design across relational and caching layersIntegration with third-party services (payment gateways, notification platforms, logistics providers)
Performance and reliability of the services you own: latency, error rates, and throughput under load
Code review participation and contribution to backend engineering standards
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Procurement Navigation: Lead complex RFP/RFI responses, ensuring all proposals align with government frameworks, data sovereignty laws, and ethical AI guidelines.
Cross-Functional Leadership: Partner with our Solution Architects and Data Scientists to design "Proof of Value" (PoV) pilots that demonstrate tangible ROI for private & public services.
Alliance Management: Leverage and grow partnerships with global cloud providers (AWS, Azure, Google) and local system integrators to accelerate market penetration
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Plans and manages implementation of processes and procedures, tools and techniques for monitoring and managing the performance of automated systems and services, in respect of their contribution to business performance and benefits to the business, where the measure of success depends on achieving clearly stated business/financial goals and performance targets. Gives operational and maintenance acceptance for new and changed systems and services.
On the basis of both experience and foresight, sets up and maintains a risk management program. In the event of a crisis, minimizes its effect and manages resolution so as to bring the situation to a satisfactory conclusion.
Contributes to policy making including strategic planning, hardware and software procurement, staff development and rewards, choice of methods and standards and the marketing and selling of services and products. Sets targets, and ensures that service performance is monitored and maintained as defined within the agreed service level agreements, service level parameters or contracts. Ensures that detailed metrics and records are kept and that appropriate action is initiated to maintain service levels. Identifies and implements new service performance metrics.
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• Respond to customer inquiries and provide technical support within Service Level Agreements (SLAs) via various communication channels. (Level 1 Support)
• Handles more complex technical issues, whether on-site or in-house, that cannot be resolved at the initial resolution attempts. These issues may require deeper troubleshooting, root cause analysis, and specialized knowledge for resolution, which may also involve in-house repair or coordination with OEM/suppliers. (Level 2/3 Support)
• Collaborate with cross-functional teams to escalate and resolve difficult issues.
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