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Machine Learning Engineer III

Machine Learning Engineer III
Capitec Bank
Stellenbosch
ZAR 800.000 - 1.200.000
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Machine Learning Engineer III

Capitec Bank
Stellenbosch
ZAR 800.000 - 1.200.000
Jobbeschreibung

Apply by:

We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1.To see what life at Capitec is all about and complete a short assessment, pleaseclick here!

2. Once you have completed the above finalize your application by clicking apply below.

Join Us in Becoming the Best Bank in the World!!

We appoint energized and motivated people for their potentialandcontinuously look fortalented, driven individualstohelp usinnovate and evolve.That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Who we are:

We are a bank, but we’re much more than that.We believe that banking is about enabling peopleto control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.

Why choose us:

At Capitec, we offer our best by living up to our CEO values in every situation – we always put theClient first, act withEnergy andtakeOwnership.And to support people in being their best,our Employee Value Propositionoffersevery value to all team members through cohesive teams, growth opportunities as well asemployee benefitsand savings. We make it a priority toensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About the role:

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.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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