Latest Jobs at Ovations Technologies

Job Description:

• This is a 12 - month contract with our client in the banking sector

Job Purpose

• To design, prototype, and build next-generation analytic engines and services by applying strong expertise in Artificial Intelligence (AI)

Purpose

• Build, deploy, scale and support machine learning, AI and GenAI solutions in production. The role focuses on operationalising models, developing AI applications and agents, and creating the platforms and services required to deliver business value at scale.

Key Responsibilities

• Productionise, deploy and monitor machine learning models and data science pipelines on Databricks.
• Build, deploy and support AI Agents, GenAI applications and RAG solutions on Databricks.
• Develop and maintain reusable ML pipelines using MLOps principles, including CI/CD, automated testing, monitoring and governance.
• Deploy, optimise and manage open source AI and machine learning models on Azure Kubernetes Service (AKS).
• Design, develop and support custom APIs and microservices on AKS to expose AI and machine learning capabilities to business applications.
• Implement containerised solutions using Docker and Kubernetes to ensure scalable, secure and resilient deployments.
• Monitor model performance, drift, reliability and operational health in production environments.
• Partner with Data Scientists to productionise prototypes and enable business-ready solutions.
• Collaborate with platform, security, cloud and infrastructure teams to ensure compliance with enterprise standards.
• Troubleshoot and resolve production issues related to models, pipelines, APIs and AI applications.
• Optimise AI and ML solutions for performance, scalability, cost and reliability.
• Contribute to engineering standards, reusable frameworks and best practices across the AI and ML ecosystem.
• Mentor junior engineers and promote knowledge sharing across the team.
• Stay current with advancements in AI, GenAI, MLOps, Databricks, Kubernetes and cloud technologies.

Core Deliverables

• Production-ready ML models and pipelines running on Databricks.
• AI Agents and business applications deployed on Databricks.
• Open source LLMs and AI services deployed on AKS.
• Secure and scalable APIs exposing AI capabilities to consuming systems.
• Automated deployment, monitoring and governance processes.
• Reliable, scalable and compliant AI platforms supporting business outcomes.

Key Skills

• Databricks Workflows, Model Serving, MLflow and Mosaic AI
• Azure Kubernetes Service (AKS)
• Python, SQL and REST APIs
• Docker and Kubernetes
• CI/CD and MLOps practices
• Machine Learning and Generative AI
• LLM deployment and optimisation
• Cloud engineering and infrastructure automation
• Monitoring, observability and troubleshooting
• Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuary Science. Masters or Doctorate will be an added advantage.

Preferred Certifications

• Microsoft Azure certifications (AZ-104, AZ-305, AI-102 or equivalent)
• Databricks certifications (Data Engineer, Machine Learning Engineer, Generative AI Engineer)
• Kubernetes and containerisation certifications (CKA, CKAD or equivalent)
• DevOps, MLOps or Platform Engineering certifications
• AWS or Google Cloud certifications will be advantageous
• Machine Learning, Artificial Intelligence or Data Science certifications from recognised providers such as Microsoft, Databricks, SAS, Coursera or DeepLearning.AI will be an added advantage

Technical / Professional Knowledge

• Strong understanding of MLOps, DevOps and software engineering practices for machine learning platforms.
• Experience building, deploying and supporting machine learning solutions in production environments.
• Proficiency in Python and experience with SQL and API development.
• Experience with Databricks, MLflow, Model Serving and cloud-native AI/ML platforms.
• Hands-on experience with Kubernetes, Docker and containerised application deployment.
• Experience deploying and supporting machine learning and Generative AI solutions on Azure Kubernetes Service (AKS).
• Knowledge of CI/CD pipelines, infrastructure automation and platform monitoring.
• Experience with distributed computing technologies such as Spark and large-scale data processing frameworks.
• Understanding of machine learning, large language models (LLMs), retrieval-augmented generation (RAG) and AI agents.
• Ability to productionise data science solutions and collaborate effectively with Data Scientists.
• Experience delivering end-to-end AI and machine learning use cases from development to production.
• Ability to translate technical concepts into business outcomes and communicate effectively with stakeholders.
• Strong written and verbal communication skills with the ability to work across cross-functional teams.
• Self-driven, adaptable and capable of thriving in a fast-paced, technology-driven environment.

go to method of application »

• We are seeking a Specialist: Procurement to drive end-to-end sourcing, vendor management, and CapEx/OpEx procurement activities across our Fintech Business Units. Working closely with Group sourcing, opcos, and external suppliers, you will ensure cost efficiency, strict policy compliance, and seamless operational delivery in a dynamic, fast-scaling digital environment.

Key responsibilities

• End-to-End Sourcing: Lead RFx processes, e-reverse auctions, cost breakdown analyses, supplier evaluations, and commercial contract drafting.
• Budgeting & Spend Analytics: Support CapEx/OpEx planning, track procurement spend, and generate monthly cost and savings reports.
• Supplier Management: Oversee supplier qualification, onboarding, performance monitoring, and relationship management.
• Governance & Compliance: Ensure SCM adherence across local opcos, Group Procurement, and Shared Services (GSSC) in line with corporate standards (Yello Book).
• Operational Execution: Manage the requisition/ordering lifecycle, support specialized categories (e.g., travel), and maintain audit-ready filing systems.
• Reporting & Escalations: Produce daily/weekly/monthly metrics and resolve operational vendor escalations.

Requirements & qualifications

• Education: 3-Year Bachelor's Degree/Diploma in Procurement, Supply Chain Management, Logistics, or Contract Management (CIPS certification is an advantage).

Experience:

• 4–6 years in general corporate procurement category management.
• 2–4 years at a specialist level, ideally within Fintech, Financial Services, Telecoms, or Tech.
• Proven exposure to multi-regional/global markets and cross-border operations.
• Key Skills: Spend analytics, cost modeling, RFx/e-auction tools, contract negotiation, vendor risk management, and strong business acumen.

go to method of application »

Job Description:

• This is a 3-month contract with our client in the banking sector.

Key Responsibilities

• Security Solutions & Implementation: Provide expert advice on complex security technologies, independently manage risk changes, and oversee successful deployments.
• R&D & Product Evaluation: Participate in research, proofs of concept, and product selections to enhance security architectures.
• Governance & Standards: Create, maintain, and review information security policies, rules, and operational standards.
• Incident & Risk Management: Analyse system logs and MIS reports to correct deviations, mitigate risks, and resolve complex technical issues.
• Stakeholder Engagement & Mentorship: Collaborate with internal stakeholders and vendors while proactively mentoring junior administrators and analysts.

Requirements & Qualifications

• Education: Advanced Diploma or National 1st Degree in an IT/Computer Science field.
• Certifications (Essential): CISSP, CISM, or equivalent professional qualification.

Experience:

• 10–15 years of total IT experience.
• At least 2 years in a senior role.
• 3–5 years specializing in an Information Security technology.

go to method of application »

• Are you passionate about Artificial Intelligence, product innovation, and delivering technology solutions that create measurable business value?
• We are looking for an experienced AI Product Manager to drive the strategy, development, delivery, and continuous improvement of AI-enabled products. The successful candidate will bridge the gap between business needs, user experience, data science, and technical delivery to ensure AI solutions deliver meaningful business outcomes.

Key Responsibilities:

• Identify and prioritise AI opportunities based on business value, feasibility, data readiness, cost, and risk.
• Define product requirements, user stories, features, acceptance criteria, and product roadmaps.
• Collaborate with data scientists, ML engineers, researchers, architects, and development teams to guide AI product development.
• Assess AI models and technology solutions against product requirements, performance, cost, security, and scalability.
• Define data requirements and coordinate data readiness, quality, access, and governance.
• Establish evaluation frameworks, performance metrics, pilot programmes, proof of concepts (PoCs), and testing strategies.
• Monitor product performance, adoption, quality, costs, and business outcomes to drive continuous improvement.
• Ensure responsible AI practices, governance, privacy, risk management, and regulatory compliance are incorporated throughout the product lifecycle.
• Develop business cases, ROI assessments, value propositions, and pricing strategies for AI-enabled products.
• Drive stakeholder engagement, change management, user adoption, and benefits realisation.

Minimum Requirements:

• Experience in product management, business analysis, or software development lifecycle (SDLC) practices.
• Proven experience in product roadmap development, backlog prioritisation, Agile methodologies, and cross-functional delivery.
• Foundational to intermediate knowledge of AI, Machine Learning, and Generative AI, supported by relevant certifications.
• Experience with data-driven products, data quality, data governance, data modelling, and data readiness.
• Exposure to pilots, proof of concepts, A/B testing, and model evaluation frameworks.
• Proficiency in analytics and monitoring tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies.
• Strong stakeholder management, communication, analytical, and problem-solving skills.

Advantageous Qualifications:

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field.
• Certifications in Product Management, Agile delivery, Business Analysis, AI, or Data disciplines, such as PSPO, CSPO, SAFe POPM, CBAP, or equivalent.
• Experience delivering AI, analytics, digital transformation, or enterprise technology initiatives within large organisations.
   

go to method of application »

• Are you a hands-on AI Developer passionate about building innovative AI-powered solutions using Microsoft technologies?
• We are looking for an AI Developer to join a multidisciplinary AI delivery team, responsible for designing, developing, testing, and deploying secure, scalable, and production-ready AI solutions. The ideal candidate will have practical experience with Microsoft AI technologies and the ability to turn business requirements into effective technical solutions.

Key Responsibilities

• Design, develop, test, and deploy AI agents and AI-powered solutions.
• Build solutions using Azure AI Foundry, Microsoft Copilot Studio, Azure AI Services, and Azure OpenAI.
• Configure prompts, workflows, orchestration logic, connectors, and integrations.
• Integrate AI solutions with enterprise applications, APIs, and data sources.
• Support proof of concepts (PoCs), pilots, production deployments, and releases.
• Troubleshoot defects, perform testing, and optimise solution performance.
• Develop reusable components, accelerators, and technical documentation.
• Follow engineering standards, security requirements, and architectural principles.
• Collaborate with architects, developers, testers, product owners, and business stakeholders in an Agile environment.
• Contribute to knowledge sharing and continuous improvement of AI development practices.

Essential Requirements

• 2–5 years of software development experience.
• Hands-on experience with Azure AI Foundry, Copilot Studio, Azure AI Services, and Azure OpenAI.
• Good understanding of Generative AI and Large Language Models (LLMs).
• Practical experience building, configuring, and deploying AI agents.
• Experience with API integrations, authentication, and security principles.
• Experience testing, debugging, and supporting AI solutions.
• Proven experience delivering technology solutions within an enterprise environment.
• A degree or diploma in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.

 Advantageous Skills

• Microsoft Power Platform.
• Azure Functions and Logic Apps.
• Microsoft Graph and custom connectors.
• Microsoft Fabric.
• DevOps and CI/CD practices.
• Programming experience in Python, JavaScript, C#, Java, or similar languages.

Preferred Certifications

• Microsoft Applied Skills: Build AI Apps with Azure AI Foundry.
• Microsoft Copilot Studio certification.
• Microsoft Certified: Azure AI Engineer Associate.
• Microsoft Azure Fundamentals.
• Microsoft Power Platform Fundamentals.

Ideal Candidate

• A technically strong, hands-on AI practitioner who can build and deploy Microsoft AI solutions, integrate enterprise systems, solve technical challenges, and collaborate effectively within an Agile delivery team.

go to method of application »

Job Description:

• This is a 6 - month contract with our client in the banking sector.
• We are seeking an analytical Senior Financial Officer to generate and report reliable financial data that drives strategic regional decision-making in alignment with corporate objectives.

Respnsibilities include:

• Budgeting & Forecasting: Lead annual budgets, 3-year strategic plans, quarterly re-forecasts, and staff head-count run rates.
• Performance Reporting: Deliver monthly flash reports, variance analyses against budgets, and formal executive commentary.
• Business Partnering & Advisory: Guide stakeholders on profitability, present regional packs to management, and upskill line managers on financial management.
• Cost & Risk Control: Monitor footprint/branch roll-out expenditure and oversee risk management for closed branches.

Requirements include:

• Education: Advanced Diploma / National First Degree (BCom Honours in Accounting preferred).
• Experience: 3–5 years in financial management, ideally within financial services or banking.
• Technical Competencies: Advanced MS Excel, data analysis, budgeting frameworks, and banking procedures knowledge.

go to method of application »

• We are seeking a Specialist: Procurement to drive end-to-end sourcing, vendor management, and CapEx/OpEx procurement activities across our Fintech Business Units. Working closely with Group sourcing, opcos, and external suppliers, you will ensure cost efficiency, strict policy compliance, and seamless operational delivery in a dynamic, fast-scaling digital environment.

Key responsibilities

• End-to-End Sourcing: Lead RFx processes, e-reverse auctions, cost breakdown analyses, supplier evaluations, and commercial contract drafting.
• Budgeting & Spend Analytics: Support CapEx/OpEx planning, track procurement spend, and generate monthly cost and savings reports.
• Supplier Management: Oversee supplier qualification, onboarding, performance monitoring, and relationship management.
• Governance & Compliance: Ensure SCM adherence across local opcos, Group Procurement, and Shared Services (GSSC) in line with corporate standards (Yello Book).
• Operational Execution: Manage the requisition/ordering lifecycle, support specialized categories (e.g., travel), and maintain audit-ready filing systems.
• Reporting & Escalations: Produce daily/weekly/monthly metrics and resolve operational vendor escalations.

Requirements & qualifications

• Education: 3-Year Bachelor's Degree/Diploma in Procurement, Supply Chain Management, Logistics, or Contract Management (CIPS certification is an advantage).

Experience:

• 4–6 years in general corporate procurement category management.
• 2–4 years at a specialist level, ideally within Fintech, Financial Services, Telecoms, or Tech.
• Proven exposure to multi-regional/global markets and cross-border operations.
• Key Skills: Spend analytics, cost modeling, RFx/e-auction tools, contract negotiation, vendor risk management, and strong business acumen.