Back End developer to join their team on a Hybrid Model, in Centurion. Qualifications & Requirements: End Developer Cloud, preferably AWS experience Hands-on technical expertise in backend development J Self-motivated and energetic individual with a hands-on approach Good coding habits: (Reviews, TDD etc)
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech Competence in coding languages like Python and R Hands-on exposure to AI frameworks and toolkits Proficiency systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech Competence in coding languages like Python and R Hands-on exposure to AI frameworks and toolkits Proficiency systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
Responsibilities:
structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
out for and on behalf of the organisation. Proven hands-on experience owning/managing a CRM system is a or Oracle. Experience with data cleansing, data modeling, and data restructuring within CRM systems. Strong
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
NFS and CIFS Knowledge of framework Agile Working Model Knowledge of Virtualisation technologies such as responsibilities assigned in the Agile Working Model (AWM) Charter Knowledge in migrating complex VDI NFS and CIFS Knowledge of framework Agile Working Model Knowledge of Virtualisation technologies such as responsibilities assigned in the Agile Working Model (AWM) Charter Should you not receive a response
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality