Ai Solutions Lead

Showing 6 AI Solutions Lead jobs in Durbanville

Posted today

Job Description

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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 :

• 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

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 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 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.

Why Choose Us

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.

About The Role

As a Machine Learning Engineer at Capitec is 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

Our Ideal Candidate Has

Education

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 and, where feasible, all appointments will support the achievement of our employment equity goals.

Is this job a match or a miss?

New

Posted today

Job Description

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 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 Machine Learning Engineer at Capitec is 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

Our ideal candidate has :

Education :

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

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7400 Cape Town, Western Cape DLK Group

Posted 14 days ago

Job Description

The role of the Specialist Machine Learning Engineer encompasses many activities, including (but not limited to) : Focusing on niche areas of machine learning, such as natural language processing, computer vision, or reinforcement learning.Developing domain-specific ML models tailored to specialized business needs.Conducting in-depth research and prototyping innovative solutions using advanced ML techniques.Identifying opportunities to apply cutting-edge machine learning advancements to improve processes or create new capabilities.Collaborating with other Engineers to transfer research findings into scalable, production-ready solutions.Providing expert insights on specific tools, frameworks, or algorithms, ensuring the organization stays ahead in ML innovation.Contributing to the development of internal ML tools and libraries to streamline workflows.Requirements Minimum Qualification : NQF 6 or higher tertiary qualification in Information Communication Technology (ICT) field incorporating (but not limited to) Information Systems; Cloud certification. Minimum Experience : Minimum of 6 years’ experience in a field of a Machine Learning Engineer role.

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Specialist Machine Learning Engineer

Posted 19 days ago

Job Description

The Specialist Machine Learning Engineer is responsible for advancing the organisation’s technical capabilities in specific, high-impact areas of machine learning such as natural language processing (NLP), computer vision, or reinforcement learning. This role combines deep research expertise with practical engineering skills to design, prototype, and deploy innovative ML solutions that address complex, domain-specific business challenges. The incumbent serves as a subject-matter expert and innovation driver, ensuring that the organisation remains at the forefront of emerging ML technologies and methodologies.

Key Responsibilities :

RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field (e.g., Computer Science, Information Systems, Data Science, or related discipline).Cloud certification (AWS, Azure, or GCP) preferred.Minimum of 6 years’ experience in a Machine Learning Engineer or related advanced AI / ML role.Proven expertise in one or more ML specialisations (e.g., NLP, computer vision, or reinforcement learning).Strong background in research, experimentation, and model deployment.Demonstrated ability to translate research into practical, high-performance production systems.

Key Responsibilities :

RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field (e.g., Computer Science, Information Systems, Data Science, or related discipline).Cloud certification (AWS, Azure, or GCP) preferred.Minimum of 6 years’ experience in a Machine Learning Engineer or related advanced AI / ML role.Proven expertise in one or more ML specialisations (e.g., NLP, computer vision, or reinforcement learning).Strong background in research, experimentation, and model deployment.Demonstrated ability to translate research into practical, high-performance production systems.

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Intermediate Machine Learning Engineer

Posted 19 days ago

Job Description

The Intermediate Machine Learning Engineer is responsible for developing, optimizing, and deploying machine learning solutions that support data-driven decision-making and business objectives. The role requires strong technical expertise in model development, pipeline management, and integration within production environments.

Key Responsibilities :

The role encompasses many activities, including (but not limited to) : Building and maintaining end-to-end machine learning pipelines for model development, training, testing, and deployment.Training and fine-tuning ML models using structured and unstructured datasets.Collaborating with Senior Engineers and Data Scientists to implement ML models into production environments.Conducting model evaluation and validation to ensure accuracy, scalability, and alignment with business goals.Troubleshooting and resolving issues related to model performance, accuracy, and deployment.Documenting workflows, maintaining version control, and ensuring reproducibility of ML experiments.Supporting the integration of ML models with existing software systems and data infrastructures.Keeping up-to-date with emerging tools, frameworks, and trends in machine learning and AI.RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field, such as Information Systems, Computer Science, Data Science, Software Engineering.Preferred Certifications : Cloud platform certification (AWS, Azure, or GCP) with specialization in ML or AI services.Minimum of 3 years’ experience in a Machine Learning Engineer role or a similar position.Proven experience developing, deploying, and monitoring machine learning models in production.Hands‑on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with cloud-based ML services and tools (AWS SageMaker, Azure ML, GCP Vertex AI).Familiarity with containerization (Docker, Kubernetes) and CI / CD practices for ML OpsStrong programming skills in Python (and optionally R or Java).Proficiency in data preprocessing, feature engineering, and model evaluation techniques.Experience working with APIs and integrating ML models into production systems.Solid understanding of software engineering principles and version control (Git).Strong analytical, problem-solving, and debugging skills.Excellent collaboration and communication abilities within cross-functional teams.

Key Responsibilities :

The role encompasses many activities, including (but not limited to) : Building and maintaining end-to-end machine learning pipelines for model development, training, testing, and deployment.Training and fine‑tuning ML models using structured and unstructured datasets.Collaborating with Senior Engineers and Data Scientists to implement ML models into production environments.Conducting model evaluation and validation to ensure accuracy, scalability, and alignment with business goals.Troubleshooting and resolving issues related to model performance, accuracy, and deployment.Documenting workflows, maintaining version control, and ensuring reproducibility of ML experiments.Supporting the integration of ML models with existing software systems and data infrastructures.Keeping up-to-date with emerging tools, frameworks, and trends in machine learning and AI.RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field, such as Information Systems, Computer Science, Data Science, Software Engineering.Preferred Certifications : Cloud platform certification (AWS, Azure, or GCP) with specialization in ML or AI services.Minimum of 3 years’ experience in a Machine Learning Engineer role or a similar position.Proven experience developing, deploying, and monitoring machine learning models in production.Hands‑on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.Experience with cloud-based ML services and tools (AWS SageMaker, Azure ML, GCP Vertex AI).Familiarity with containerization (Docker, Kubernetes) and CI / CD practices for ML OpsStrong programming skills in Python (and optionally R or Java).Proficiency in data preprocessing, feature engineering, and model evaluation techniques.Experience working with APIs and integrating ML models into production systems.Solid understanding of software engineering principles and version control (Git).Strong analytical, problem-solving, and debugging skills.Excellent collaboration and communication abilities within cross‑functional teams.

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Senior Machine Learning Engineer

Posted 19 days ago

Job Description

The Senior Machine Learning Engineer is responsible for designing, developing, and deploying advanced machine learning solutions that drive business impact. This role requires deep technical expertise, strong problem-solving skills, and the ability to lead complex projects from conception through to production. The incumbent will play a key role in shaping the organisation’s ML strategy, mentoring junior engineers, and ensuring scalable, efficient, and ethical use of AI technologies.

Key Responsibilities :

Design and implement advanced machine learning models and systems to solve complex business challenges. Lead the end-to-end lifecycle of ML projects, including data preparation, model training, validation, deployment, and ongoing monitoring. Optimise existing ML models and pipelines for scalability, efficiency, and performance in production environments. Partner with data engineers, software developers, and business stakeholders to integrate ML solutions seamlessly into existing systems and workflows. Provide mentorship, guidance, and technical leadership to mid-level and junior ML engineers to ensure knowledge sharing and adherence to best practices. Develop, maintain, and enforce standards for model governance, documentation, versioning, and reproducibility. Stay abreast of emerging trends, tools, and technologies in machine learning, MLOps, and AI ethics to continually improve solutions and frameworks.

RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field (e.g., Computer Science, Information Systems, Data Science, or related discipline).Cloud certification (e.g., AWS, Azure, or GCP) preferred.Minimum of 5 years’ experience in a Machine Learning Engineer or similar role.Proven track record of designing, developing, and deploying ML models in production environments.Experience with modern ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).Solid understanding of data engineering, model lifecycle management, and MLOps practices.

The Senior Machine Learning Engineer is responsible for designing, developing, and deploying advanced machine learning solutions that drive business impact. This role requires deep technical expertise, strong problem‑solving, and the ability to lead complex projects from conception through to production. The incumbent will play a key role in shaping the organisation’s ML strategy, mentoring junior engineers, and ensuring scalable, efficient, and ethical use of AI technologies.

Key Responsibilities :

RequirementsNQF Level 6 or higher tertiary qualification in an ICT-related field (e.g., Computer Science, Information Systems, Data Science, or related discipline).Cloud certification (e.g., AWS, Azure, or GCP) preferred.Minimum of 5 years’ experience in a Machine Learning Engineer or similar role.Proven track record of designing, developing, and deploying ML models in production environments.Experience with modern ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).Solid understanding of data engineering, model lifecycle management, and MLOps practices.

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