115 Machine Learning jobs in South Africa

• To see what life at Capitec is all about and complete a short assessment, please click here!
• Once you have completed the above finalize your application by clicking apply below.
  
  

• 3+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• PySpark
• Big data frameworks – Hadoop/Kafka
• Github experience or Git
  
  

• AWS experience
  
  

• 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
  
  

• Completed an Honors Degree or higher
  
  

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver exceptional customer experiences.

We understand that customer data is at the heart of hyper-personalization and are looking for the brightest, most inspiring engineers to deliver our product, which enables data to drive every decision, communication, and customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketers. Creativity is at the core of Ikue and is something we aim to further strengthen in 2022! There are no typical profiles; each team member shares our vision and wants to be part of its success.

1. Design and construct Ikue's AI Studio in collaboration with Product Owners and Data Scientists
2. Design and build machine learning pipelines (model development, evaluation, deployment, monitoring)
3. Integrate machine learning outputs into real-time and batch data pipelines
4. Ensure machine learning and data pipelines are monitored, reliable, and supportable (including expert support when required)

• Becoming part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team with a good sense of humor
• Responsibility and growth opportunities within the team
• Work in a fast-paced company
• Remote work model

• BSc in Computer Science or Engineering
• 3+ years of experience as a Machine Learning Engineer
• Advanced skills in Python, Spark, and SQL
• Experience deploying and maintaining machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS and Sagemaker preferred)
• AWS Associate Developer certification (Machine Learning Specialty preferred)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities

Sandton, South Africa | Posted on 08/28/2024

MUSE  is a consulting company, specialising in resourcing, recruitment and outsourcing of software development teams.

MUSE was founded and is run by experienced developers who are passionate about technology and innovation. We have a vision to be the best in the industry and to provide software development skills that are cutting-edge and high-quality.

We work with some of the leading companies in South Africa and we help them build software products and solutions that are game-changing and future-oriented. We are also at the forefront of applying AI, AR and Machine-Learning concepts to real-world problems.

Our main goal is to help our clients get the most value from their technology investments. We do this by understanding their needs and providing them with the best talent available. We aim to be a vital part of the SDLC.

Are you a talented and enthusiastic Machine Learning Engineer looking for an exciting opportunity? Join our Machine Learning Operations team and be at the forefront of designing, building, testing, deploying, and monitoring cutting-edge machine learning and analytics applications. This role offers the chance to work with state-of-the-art technologies and contribute to the automation of machine learning and AI use cases. Collaborate with data scientists, actuaries, data engineers, and other software engineers to help architect our bank’s modern Machine Learning ecosystem.

Machine Learning Automation and Software Engineering:

• Design, build, and deploy machine learning and analytics automation processes.
  
• Refactor existing code bases to enhance efficiency, robustness, scalability, and automation of machine learning workflows.
  

Cloud-Native Development:

• Utilize Databricks and Azure for data engineering and machine learning use cases.
  
• Leverage Azure services such as Azure Functions, CosmosDB, API Gateway, and Azure Machine Learning to build intelligent data applications.
  

DevOps and Software Engineering:

• Build CI/CD pipelines to improve development and deployment practices.
  
• Develop robust testing and monitoring capabilities for machine learning and AI use cases.
  
• Experience with Git, Jenkins, Azure DevOps, and Terraform is advantageous.
  
• Build APIs to serve machine learning models.
  
• Apply software engineering best practices to develop robust, scalable, and maintainable code.
  
• Create microservice applications using Docker and container orchestration tools like OpenShift.
  
• Collaborate with cross-functional teams to deliver high-quality software solutions for machine learning and data use cases.
  
• Create and maintain documentation of processes, technologies, and code bases.
  
• Familiarity with MLFlow, PyTorch, TensorFlow, etc., is beneficial for the productionization of machine learning use cases.
  
• Work closely with data scientists, actuaries, data engineers, and other software engineers to understand and address their data needs.
  
• Contribute actively to the architecting of our bank’s modern Machine Learning data ecosystem.
  

• 1-3 years of experience as a Software Engineer.
  
• Bachelor’s degree in engineering or a related field. Other qualifications will be considered if accompanied by sufficient experience in software engineering.
  

• 2 years of experience using Python and SQL.
  
• Exposure to Linux shell scripting is advantageous.
  
• Experience with Spark is advantageous.
  
• Interest in software architecture.
  
• Knowledge of cloud compute services.
  
• Familiarity with serverless computing and cloud-native development.
  
• Keen interest in systems design and software architecture.
  
• Knowledge of machine learning frameworks/packages (e.g., MLFlow, Spark ML, Sklearn).
  
• Understanding of CI/CD concepts and API development, with implementation experience being advantageous.
  
• Strong critical thinking, problem-solving, and collaboration skills.
  
• Ability to collaborate with cross-functional tech teams as well as business/product teams.
  
• Commitment to excellence and high-quality delivery.
  
• Passion for personal development and growth, with a high learning potential.
  

If you’re passionate about machine learning and eager to work in a dynamic and innovative environment, we’d love to hear from you! Apply now and be part of our journey to revolutionize the banking industry with cutting-edge AI and machine learning solutions.

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, please click here!
2. Once you have completed the above finalize your application by clicking apply below.

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate 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 building a brand that we are proud of and earns the trust of our clients.

We are a bank, but we’re much more than that. We believe that banking is about enabling people to 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.

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy, and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities, as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

As a Machine Learning Engineer at Capitec, you will be pivotal in shaping and executing the bank's AI strategy. By collaborating with Data Scientists and Decision Scientists, you'll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.

This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You’ll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models.

• 3+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• PySpark
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

• AWS experience
• 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

• 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.

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06

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, please click 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 potential and continuously look for talented, driven individuals to help us innovate 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 building a brand that we are proud of and earns the trust of our clients.

We are a bank, but we’re much more than that. We believe that banking is about enabling people to 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.

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy, and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities, as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

As a Machine Learning Engineer at Capitec, you are pivotal in shaping and executing the bank's AI strategy. By collaborating with Data Scientists and Decision Scientists, you'll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.

This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You’ll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models.

• 3+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• PySpark
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

• AWS experience

• 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

• 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.

• To enable Data Scientists and Decision Scientists to do work more efficiently; build, implement, improve and support platform improvements which will support delivery of the AI strategy.
• To collaborate in creating and delivering the AI strategy to ensure the Bank is able to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

• Length of experience for Machine Learning Engineers is conditional on the qualifications obtained
• Machine learning and software development experience
• Delivering nonstandard predictive models into a production environment
• Working with Python and SQL
• Experience with the modern software development best practices, Working in cloud environments.
• Experience with big data processing frameworks

• Masters Degree in Information Technology - Computer Science or Engineering

• Machine learning model life cycle
• Knowledge of machine learning patterns and concepts
• Understanding of distributed systems
• Understand a broad range of data structures and algorithms, and which to use
• Knowledge of engineering and operational excellence best practices
• Ability to debug code through common troubleshooting techniques such as metrics, logs and traces
• Predictive modelling techniques (statistical and machine learning) and deployment

• Analytical Skills
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills
• Researching skills

• Clear criminal and credit record