As a Senior Machine Learning Engineer at Capitec, 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 at Capitec, 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
If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you!
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals. Capitec is committed to diversity; applications to this position will strictly be considered in support of our employment equity goals. Apply now »