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Results for machine learning in "machine learning" in Jobs in Centurion in Centurion
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Key ResponsibilitiesDevelop and implement credit scoring models (PD, LGD, IFRS 9) across retail portfolios.Apply GLMs, survival analysis, and machine learning algorithms to build predictive, stable, and explainable models.Extract and manipulate large structured and unstructured datasets for modelling purposes.Conduct feature engineering, model validation, and performance monitoring.Collaborate with cross-functional teams across credit, risk, data science, and IT to deploy models into production.Lead documentation, governance, and presentation of models to internal risk committees.Contribute to research-led initiatives within credit analytics and advanced modelling techniques.Ideal Candidate ProfilePhD or MSc in Actuarial Science, Data Science, Applied Statistics, Quantitative Risk, or a related field.5+ years hands-on experience in credit risk modelling in a financial institution or consulting environment.Strong proficiency in R, Python, SQL, and tools like SAS, Shiny, or Emblem.Expertise in statistical frameworks such as GLMs, Cox regression, Markov models, or survival analysis.Experience using alternative data sources (e.g. transactional data, bureau data, behavioural data).A research mindset and a strong publication or presentation track record will be a distinct advantage.Whats in it for You?Shape the credit risk modelling roadmap across high-impact portfolios.Work on cutting-edge modelling techniques including machine learning, scorecard optimisation, and explainability.Join a team known for innovation in IFRS 9, survival modelling, and data science-driven credit strategies.Flexible hybrid work model and strong career growth prospects.Collaborate in a research-rich, intellectually curious environment.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Modeller--Scorecard-Development-1201092-Job-Search-07-08-2025-04-13-15-AM.asp?sid=gumtree
7mo
Executive Placements
1
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This role bridges implementation and design leadership, playing a critical role in guiding best practices and mentoring junior engineers while contributing hands-on to complex projects.Qualifications, Experience and Knowledge:A degree or diploma in Computer Science, Information Systems, Engineering, or a related field.5+ years of hands-on data engineering experience.Advanced proficiency in Python and SQL.Strong database design knowledge and experience with data warehousing techniques and modelling approaches.Experience building and maintaining cloud-based data architecture (AWS preferred).Hands-on experience with data ingestion from, amongst others: Microsoft SQL Server, Oracle, MongoDB, Amazon S3 and other AWS data services, HTTP APIs, SFTP, and various file systems.Proficiency with Git, CI/CD pipelines, and Agile methodologies.Familiarity with machine learning workflows and supporting analytics teams.Strong experience with BI tools like Power BI for data storytelling. Competencies and Skills:AWS certifications or equivalent practical expertiseExperience leading or mentoring junior engineersStrong problem-solving, analytical, and communication skillsAbility to work independently and take initiative on projectsBusiness acumen and ability to translate technical work into business impact
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1201983-Job-Search-07-10-2025-04-21-04-AM.asp?sid=gumtree
7mo
Executive Placements
1
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A dynamic and growing R&D company specializing in electro-optical systems and machine learning technologies is currently seeking an experienced Project Manager to join its team on a full-time basis. The organization operates in a lively, casual office environment and focuses on the development and production of advanced technologies with applications in both civilian and security sectors, and select defence-related domains.Primary Purpose of the Role:The Project Manager will be responsible for planning, executing, and managing:Product and technical development projectsProduction projects related to these products and componentsSupport and lifecycle projects associated with the companys technologiesAll project work must align with broader product development strategies.Qualifications Required:Bachelors Degree or higher in Engineering (required)Formal project management training or equivalent (required)Certification in Project Management or successful completion of a relevant courseRequired Experience:510 years of project management experience in an engineering environment (required)Proven track record of managing development projects in technology-driven sectors; experience in the military technology environment is a strong advantagePractical experience with project management methodologies including PMBOK (required), Prince2 and/or Agile (required)Experience using formal project management software and tools (required)Strong project planning, control techniques, and change management in complex environments (required)Experience leading diverse engineering and technical teams (required)Contract negotiation skills and understanding of total cost of ownership (preferred)Experience creating and managing Business Plans (preferred)Background in the aerospace industry is advantageous but not requiredKey Responsibilities:Define, scope, and contract projects internally or externallyNegotiate objectives, outcomes, deliverables, schedules, and costs with stakeholdersAlign projects with systems engineering requirements, technical risk mitigation, and testing strategiesManage project lifecycle across development, production, support, and decommissioningCreate Business Plans and establish business metrics for successEnsure milestones are achieved within quality, time, cost, and risk parametersManage internal development teams and external contractorsOversee procurement, SHE (Safety, Health, Environmen
https://www.executiveplacements.com/Jobs/E/Engineering-Project-Manager-1195874-Job-Search-6-19-2025-11-02-02-AM.asp?sid=gumtree
8mo
Executive Placements
1
1. Product Vision and Strategy:o Defining the roadmap for Remote Monitoring Systems (RMS) or Risk Management solutions specifically designed to monitor IoT devices, sensors, and networks.o Identifying market needs for risk management in IoT and creating a strategic vision to address those needs, such as improving security, uptime, or data integrity.2. Risk Monitoring:o Ensuring the system is capable of real-time monitoring of IoT devices to detect performance issues, security breaches, or malfunctions.o Developing features that assess IoT-related risks like device failures, data breaches, or environmental hazards, and implementing mitigation strategies.3. Security and Compliance:o Addressing IoT security risks, such as unauthorized access or attacks on connected devices, through robust monitoring, alerting, and security protocols.o Ensuring the RMS complies with relevant regulations and industry standards for IoT devices, such as data privacy laws or cybersecurity frameworks.4. IoT Data Management:o Ensuring that the RMS can collect, store, and analyze vast amounts of data generated by IoT devices in real-time, providing actionable insights into potential risks.o Leveraging machine learning and analytics to predict failures or security threats in IoT ecosystems.5. User Experience and Interface:o Designing intuitive interfaces for users (e.g., IoT operators or managers) to easily monitor device performance, detect anomalies, and respond to risk-related events.o Ensuring the RMS is easy to integrate with different IoT devices and platforms, providing a seamless experience for users.6. Collaboration with Cross-Functional Teams:o Working with IoT hardware manufacturers, network engineers, data scientists, and security experts to integrate risk management features into IoT products.o Coordinating with sales, customer support, and marketing teams to ensure that the product meets customer requirements and addresses common challenges in IoT deployments.
https://www.executiveplacements.com/Jobs/R/Remote-Monitoring-System-RMS-Product-Manager-1204222-Job-Search-07-17-2025-16-31-58-PM.asp?sid=gumtree
7mo
Executive Placements
1
Key Responsibilities:Design, build and implement credit scoring models (PD, LGD, IFRS 9) using structured and unstructured/alternate data.Develop machine learning and statistical models to enhance the credit vetting process.Conduct data mining, feature engineering, and statistical testing across large datasets.Work with risk, credit, analytics and technology teams to ensure models are integrated and performing optimally.Research and publish model documentation in alignment with governance and regulatory requirements.Engage with internal committees and influence modelling best practices across the business.Ideal Background:PhD/MSc in Actuarial Science, Data Science, Quantitative Risk, or similar.5+ years of hands-on experience in credit risk modelling, especially within a banking or financial services context.Strong foundation in GLMs, survival models, Markov models, or Cox-regression frameworks.Highly proficient in R, Python, SQL, and tools such as SAS or Emblem.Experience with R Shiny, dashboards, or model explainability tools will be a strong advantage.A track record of research publications, technical model development, and involvement in academic or industry collaboration projects is highly valued.What Sets This Role Apart:Shape and influence the modelling roadmap across multiple credit portfolios.Join an award-winning team with a track record of innovation in IFRS 9 and survival modelling.Work with data science, analytics, and credit risk specialists in a high-impact environment.Exposure to cutting-edge research, alternate data strategies, and real-world deployment.Flexible hybrid setup with career progression and thought leadership opportunities.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Modeller--Scoring-Models--Advanced-1200299-Job-Search-07-04-2025-04-13-31-AM.asp?sid=gumtree
8mo
Executive Placements
1
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Key responsibilities include: Analyzes data stored in cloud environments to extract insights and support data-driven decision-making.Use various cloud analytics tools and technologies, including data visualization software and machine learning algorithms.Ensure that data is accurate, consistent, and readily available for analysis. Required qualifications and experience: Diploma (NQF Level 6) in Information Technology (IT) or related field. Must have any relevant Cloud Data Analytics certification.7+ years experience as a Cloud Data Analyst
https://www.executiveplacements.com/Jobs/C/Cloud-Data-Analyst-1198527-Job-Search-06-27-2025-10-27-38-AM.asp?sid=gumtree
8mo
Executive Placements
1
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Electronic Engineer (Software, AI & ML) CenturionQualificationB.Eng. degree (electronic or computer).Software design and implementation experience.Experience in product development.Software system engineering experience.Specialist knowledge :Object orientated programming experience (C++) Embedded systems software development.Experience in image processing.Machine learning algorithms development.Duties & ResponsibilitiesProvide Software Engineering for system and subsystem software.Generation of relevant firmware, software and hardware documentation Systems integration and testing with other engineering disciplines.Mentoring of junior electronic and software engineers.Providing firmware, software, and hardware support and training.Interfacing with the production facility.Engineering project planning and management.Generation of specification and other related documentation.
https://www.executiveplacements.com/Jobs/S/Software-Engineer-MLAI-1197266-Job-Search-06-24-2025-10-33-26-AM.asp?sid=gumtree
8mo
Executive Placements
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Cloud Network Engineer: This role will be centered around the following functions: a) Statistical data processing (Data Mining) b) Artificial Intelligence (AI), including generative AI c) Predictive modelling using Machine Learning and Data Science techniques d) Time-series modelling and simulation models e) Development, validation and audit of financial, risk, marketing and business-oriented models f) R&D projects
https://www.executiveplacements.com/Jobs/C/Cloud-Network-Engineer-1202306-Job-Search-7-11-2025-6-39-46-AM.asp?sid=gumtree
7mo
Executive Placements
1
Essential skills requirements:Strong expertise in Karate (optional: Playwright) for test automation.Experience with testing frameworks such as Jasmine, Selenium, or similar.Solid understanding of CI/CD pipelines, including version control, build, and deployment processes.Familiarity with the Technology Stack: JAVA/Quarkus, JavaScript + JS UI frameworks (ReactJS / Angular, NodeJS), SQL (Postgres), AWSProficient in creating and maintaining test scripts and test data for various scenarios.Strong problem-solving skills and ability to address day-to-day issues in the testing process.Experience with RESTful services and APIsAny additional responsibilities assigned in the Agile Working Model (AWM) CharterAdvantageous skills requirements:Machine Learning ExperienceTest Driven DevelopmentProficient in manual testing methodologies and practices.Cloud technologies (e.g., AWS): network, security groups, cross-account communication, ECS, Fargate, RDS, load balancers, Lambda, X-Ray, API Gateway.Micro ServicesExperience with containerization technologies like Docker and orchestration tools like Kubernetes.Knowledge of DevOps principles and their application in testing.Proficiency in tools like Postman, Rest Assured, or SOAP UI for API testing.Experience with Angular (Typescript and JavaScript) for front-end testing.Build Tools (Maven/ Gradle/ Gulp/grunt/webpack)Jira, Confluence, ITSM.NextExcellent communication skills, both verbal and written, to collaborate with technical and non-technical stakeholders.Experience of BMW and our Agile Working Model (AWM)German language skillsWhat will be your role and responsibilities?Develop, expand, and maintain test automation frameworks and scripts using Karate (optional: Playwright).Perform manual test case execution and defect retesting when required.Plan, organize, and support test case creation and adaptation based on business and internal testing requirements.Analyze business requirements and processes to create comprehensive test plans.Create and manage test data to reflect various test scenarios.Identify risks and impediments, proactively resolving or escalating them as needed.Ensure compliance with code compliance and unit testing standards.Prepare and maintain system/technical documentation.Provide support for existing solutions and ensure their quality.Share knowledge, mentor, and coach team members to enhance overall team capabilities.Track new or changed requirements and ensure they are addressed during automated testing.Stay updated on new testing tools and strategies, evaluating their potential integration into projects.Collaborate with development, Busin
https://www.executiveplacements.com/Jobs/T/Test-Automation-Engineer-Advanced-1531-1204398-Job-Search-07-18-2025-04-16-20-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Role:Our client seeks to appoint an AI Solutions Architect to design and implement AI-driven solutions that align with business objectives. Reporting to the ICT Program Manager, this position will collaborate with cross-functional teams to develop AI strategies, integrating AI technologies into enterprise systems, and ensuring scalability, security, and efficiency. Minimum QualificationsAn appropriate, recognised qualification at NǪF Level 7, with preference for a qualification in Information Technology, Computer Science, Computer Systems or equivalent.Solutions Architecture certification, Scaled Agile Framework, Azure, Google, Oracle or AWS cloud architecture certification.A relevant NǪF level 8 qualification will be an advantage. Minimum ExperienceEight years relevant work experience.Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) will be anadvantage.Understanding data architecture, APIs, and microservices will be an advantage.Knowledge of DevOps/MLOps practices for AI model deployment will be an advantage. Knowledge, skills and competenciesAI and Machine Learning.Architecture Design.Cloud architecture.Cloud Computing.Code Ǫuality Management.Cybersecurity architecture for applications.Data Management and Design.Database and data warehouse design.DevOps and CI/CD.Governance and compliance.JavaScript programing.Net programing.Programming and Scripting.Python programing.Software Development Lifecycle (SDLC).SǪL scripting.Stakeholder communication.Technical problem solving.Tool proficiency.Business acumen.Resilience, attention to detail and sound judgement. Summary of dutiesDesign and Implement AI driven Architectures.Develop AI Road maps aligned with organisational strategy.Assess and recommend AI technologies, tools and platforms.Build and deploy AI/ML models ensuring scalability and performance.Integrate AI solutions with new, existing enterprise applications and data pipelines.Work with data specialists and developers to optimize data processing and model training workflows.Implement change requests on existing applications.Oversee model deployment using cloud services and on-premises environments.Adhere to clean code principles and maintainable design patterns.Resolve identified risks and issues.Work closely with software engineers, data stewards and Business Analysts.Provide technical guidance and mentorship to the development AI t
https://www.executiveplacements.com/Jobs/A/AI-Solutions-Architect-1259435-Job-Search-02-05-2026-04-10-22-AM.asp?sid=gumtree
15d
Executive Placements
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