Our Client is looking for a GDS System Operator, in a hybrid working position (Sandton). Job Summary: GDS flight systems to ensure seamless travel operations and excellent customer service. Key Responsibilities: industry regulations and standards related to GDS operations. Implement and monitor security measures to protect Knowledge of the travel industry and airline operations. Project management experience is a plus. Additional
you a highly skilled and experienced Technical Operations Manager? Do you thrive in a fast-paced, high-pressure dynamic and innovative company. As the Technical Operations Manager, you will play a crucial role in managing managing their day-to-day technical operations, overseeing their cloud infrastructure, systems, and products products. As a Technical Operations Manager, you will be responsible for: Managing and overseeing our technical and offboarding experience Documenting standard operating procedures (SOPs) and IT policies Managing IT
solutions, supporting DevOps practices, applying machine learning techniques, and creating data visualizations practices, architecture, and operation. ML Engineering: Experience with machine learning frameworks and model infrastructure and solutions as code. Machine Learning Integration: Integrate machine learning models into data processes key business problems. Operational Support: Provide support in the operational environment with all relevant
significant experience in artificial intelligence and machine learning. As an AI Analyst with our team, you will strategic decision-making and operational optimization. Your expertise in machine learning algorithms, predictive substantial years of experience Solid understanding of machine learning techniques and algorithms, such as neural
Statistics, Engineering, Computer Science with focus on Machine Learning (Minimum) Master's degree or equivalent Statistics, Engineering, Computer Science with focus on Machine Learning) (Ideal) Experience 4 years' relevant (Preferred) Knowledge Analytics Predictive Modelling and Machine Learning Project management methodologies IT implementation Technical understanding and knowledge (different operating systems / databases /programming languages) General
techniques and platforms. Applying statistics, machine learning, and analytical approaches to solve business information needs. Building predictive models and machine-learning algorithms to answer critical business mapping abilities. Understanding of machine learning and operations research. Knowledge of R and Python
This consulting company, specializing in AI and Machine learning, would give you the opportunity to gain datasets. You will solve problems using data and machine learning techniques within various industries. design cycle. Understand Predictive Modeling, machine learning, algorithms, and clustering. Experience
science and machine learning. Proficient in Python, R, or similar languages. Familiarity with machine learning Key Responsibilities: Support the development of machine learning models for industrial applications. Assist
and products is looking for a Data Scientist/ Machine Learning Engineer to join their team. Qualifications models to achieve business goals Developing custom machine learning models to enhance existing products and/or bespoke machine learning models to solve specialized problems Developing and deploying machine learning with the latest advancements in data science and machine learning, and exploring ways to apply them If
solutions, supporting DevOps practices, applying machine learning techniques, and creating data visualisations infrastructure and solutions as code. Integrate machine learning models into data processes and ML platform key business problems. Provide support in the operational environment with all relevant support teams for practices, architecture, and operation. · ML Engineering : Experience with machine learning frameworks and