Our Client a Global tech firm is seeking a Senior Machine Learning Engineer: GenAI to join their team in a banking project on a contract basis in Cape town (Onsite). They offer stability, growth, attract rates and a great working environment About the role: As a Senior Machine Learning Engineer you will prioritize applying and integrating generative AI models into products and services while leveraging machine learning expertise to enhance the efficiency of Data Scientists and Decision Scientists. Your contributions will be essential in positioning and enhancing user experiences through AI ensuring the company remains competitive in a rapidly evolving landscape. This position requires leveraging your extensive understanding of machine learning models, from conception to deployment. You will guide and lead technical teams to uphold ML standards and practices, manage big data processing frameworks, and operate within cloud environments. Additionally, you will be responsible for deploying and fine-tuning generative AI models, as well as integrating these AI models into applications and services using prompt engineering and model optimization techniques. Our ideal candidate has: 6 years of experience in a Machine Learning engineering role Using AI frameworks such as TensorFlow and PyTorch to deploy and fine-tune generative AI models (GPT and DALL-E). Hands on experience integrating AI Models into applications and services Python and SQL experience PySpark Big data frameworks Hadoop/Kafka Github experience or Git Ideal: AWS experience Prompt Engineering and model optimisation Competencies: Simplify and make it easy Earn and extend trust Plan, deliver and raise the bar Curious and continuously learns Act, learn and adapt Inspire optimism and persistence Have courage, disagree and commit Education: Completed an Honors Degree or higher

Senior Machine Learning Engineer: Genai – Contract – Onsite position available in Cape Town Region, Cape Town City Centre. This job position was posted by . The job has been posted on 2025-03-07 in the It Computing Software category

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