37 Neural Networks jobs in South Africa
Postdoctral Research Fellowship – Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted 6 days ago
Job Viewed
Job Description
Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!
AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate
A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.
Fellowship OpportunityTheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.
This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.
The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.
Core Responsibilities- Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
- Maintain research code in a GitHub repository and use current programming practices.
- Actively participate in research meetings and take initiative to grow the group’s collaborative network.
- Co-supervise students in the area of deep learning for wildlife monitoring.
- Assist the research group in research and academic tasks.
- 40 hours of research work per week.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
- Clear evidence of completed deep learning projects in computer vision or audio tasks.
- Good mathematical and problem solving skills as the candidate will actively engage in this.
- A strong desire to apply machine learning to bioacoustics problems.
- Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
- Strong communication skills (English written, oral, and presentation).
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!
The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.
Start dateImmediately, in-person in Cape Town
Applications must include- A complete CV,
- Proof of Ph.D. completion,
- A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.
Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.
Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.
#J-18808-LjbffrPostdoctral Research Fellowship - Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted today
Job Viewed
Job Description
Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!
AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate
A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.
Fellowship OpportunityThe African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.
This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.
The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.
Core Responsibilities- Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
- Maintain research code in a GitHub repository and use current programming practices.
- Actively participate in research meetings and take initiative to grow the group’s collaborative network.
- Co-supervise students in the area of deep learning for wildlife monitoring.
- Assist the research group in research and academic tasks.
- 40 hours of research work per week.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
- Clear evidence of completed deep learning projects in computer vision or audio tasks.
- Good mathematical and problem solving skills as the candidate will actively engage in this.
- A strong desire to apply machine learning to bioacoustics problems.
- Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
- Strong communication skills (English written, oral, and presentation).
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!
The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.
Start dateImmediately, in-person in Cape Town
Applications must include- A complete CV,
- Proof of Ph.D. completion,
- A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.
Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.
Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.
#J-18808-LjbffrLead, Artificial Intelligence & Machine Learning Engineer
Posted 8 days ago
Job Viewed
Job Description
Lead, Artificial Intelligence & Machine Learning Engineer
Job Overview
Business Segment: Group Functions
Location: ZA, GP, Johannesburg, Baker Street 30
To shape the Standard Bank Group (SBG) artificial intelligence (AI) strategy and drive the creation of AI and machine learning (ML) solutions and projects; prioritising the delivery of new AI initiatives. To apply deep domain expertise in driving the AI strategy to enable SBG to be a business and thought leader in its desired markets.
Qualifications
- Masters Degree in Information Technology
- 8 - 10 Years' experience in the Artificial Intelligence and Machine Learning area
Lead, Artificial Intelligence & Machine Learning Engineer
Posted today
Job Viewed
Job Description
Lead, Artificial Intelligence & Machine Learning Engineer
Job Overview
Business Segment: Group Functions
Location: ZA, GP, Johannesburg, Baker Street 30
To shape the Standard Bank Group (SBG) artificial intelligence (AI) strategy and drive the creation of AI and machine learning (ML) solutions and projects; prioritising the delivery of new AI initiatives. To apply deep domain expertise in driving the AI strategy to enable SBG to be a business and thought leader in its desired markets.
Qualifications
- Masters Degree in Information Technology
- 8 - 10 Years' experience in the Artificial Intelligence and Machine Learning area
Artificial Intelligence Specialist
Posted 5 days ago
Job Viewed
Job Description
Main Purpose of Job:
The AI Specialist will be responsible for leveraging artificial intelligence (AI) and machine learning (ML) to optimize healthcare and pharmaceutical operations, enhance patient outcomes, and streamline data-driven decision-making. This role will focus on automating manual processes, improving data analysis, and deploying AI-powered solutions for clinical, research, and administrative functions. The specialist will collaborate with business and IT teams to identify AI opportunities, design and train machine learning models, and ensure seamless integration with enterprise infrastructure. They will also develop an AI adoption roadmap, ensure compliance with ethical AI standards and data privacy regulations, and provide training to teams for successful AI adoption. Additionally, they will oversee the deployment, monitoring, and continuous optimization of AI solutions to ensure long-term value and scalability.
EDUCATION
- Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Bioinformatics, Healthcare Informatics, or a related field.
- Strong foundation in AI, machine learning, and data analytics.
Preferred (but not mandatory):
- Master’s degree or PhD in AI, Data Science, Healthcare Informatics, or a related discipline (especially for senior roles).
- Certifications in AI/ML, Cloud Computing, or Data Science, such as:
- Google Cloud AI/ML Certification
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certification
- IBM AI Engineering Certification
EXPERIENCE & SKILLS/PHYSICAL COMPETENCIES
Required experience:
- 3–5 years of experience in AI, machine learning, data science, or related fields.
- Hands-on experience in developing and deploying AI models.
- Experience in predictive analytics, sales forecasting, and commercial strategy using AI.
- Experience with data platforms, cloud environments, and database management.
- Experience in automating business processes using RPA or AI-driven workflow tools.
Preferred experience (but not mandatory):
- Exposure to healthcare and pharmaceutical industry standards, data privacy, and compliance.
- Direct experience in AI applications for medical imaging, diagnostics, or clinical trials.
- Prior work in AI-based patient engagement tools or personalized medicine.
Technical Skills
- AI & Machine Learning:
- Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
- Experience in natural language processing (NLP), deep learning, and computer vision.
- Programming & Development:
- Strong knowledge of Python, R, SQL, and/or Java for AI model development.
- Experience with big data technologies (Spark, Hadoop) is a plus.
- Cloud & Data Platforms:
- Experience in cloud-based AI deployment (AWS AI/ML, Azure AI, Google Cloud AI).
- Hands-on experience with data pipelines, ETL processes, and real-time data processing.
- Business & Analytical Skills:
- Strong ability to analyze large datasets and provide data-driven business insights.
- Ability to develop AI-driven commercial strategy, sales forecasting, and market analytics models.
Physical & Technical Competencies
- Work Environment:
- Ability to work in a fast-paced, technology-driven environment.
- Flexibility to collaborate with cross-functional teams.
- Strong project management and multitasking skills.
- Tools & Platforms:
- Proficiency in BI and analytics tools.
- Experience in Robotic Process Automation (RPA) tools is a plus.
Please attach cv, qualifications, id and drivers license
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Artificial Intelligence Specialist
Posted today
Job Viewed
Job Description
The AI Specialist will be responsible for leveraging artificial intelligence (AI) and machine learning (ML) to optimize healthcare and pharmaceutical operations, enhance patient outcomes, and streamline data-driven decision-making. This role will focus on automating manual processes, improving data analysis, and deploying AI-powered solutions for clinical, research, and administrative functions. The specialist will collaborate with business and IT teams to identify AI opportunities, design and train machine learning models, and ensure seamless integration with enterprise infrastructure. They will also develop an AI adoption roadmap, ensure compliance with ethical AI standards and data privacy regulations, and provide training to teams for successful AI adoption. Additionally, they will oversee the deployment, monitoring, and continuous optimization of AI solutions to ensure long-term value and scalability. EDUCATION
- Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Bioinformatics, Healthcare Informatics, or a related field.
- Strong foundation in AI, machine learning, and data analytics.
- Master’s degree or PhD in AI, Data Science, Healthcare Informatics, or a related discipline (especially for senior roles).
- Certifications in AI/ML, Cloud Computing, or Data Science, such as:
- Google Cloud AI/ML Certification
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certification
- IBM AI Engineering Certification
Required experience:
- 3–5 years of experience in AI, machine learning, data science, or related fields.
- Hands-on experience in developing and deploying AI models.
- Experience in predictive analytics, sales forecasting, and commercial strategy using AI.
- Experience with data platforms, cloud environments, and database management.
- Experience in automating business processes using RPA or AI-driven workflow tools.
- Exposure to healthcare and pharmaceutical industry standards, data privacy, and compliance.
- Direct experience in AI applications for medical imaging, diagnostics, or clinical trials.
- Prior work in AI-based patient engagement tools or personalized medicine.
- AI & Machine Learning:
- Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
- Experience in natural language processing (NLP), deep learning, and computer vision.
- Programming & Development:
- Strong knowledge of Python, R, SQL, and/or Java for AI model development.
- Experience with big data technologies (Spark, Hadoop) is a plus.
- Cloud & Data Platforms:
- Experience in cloud-based AI deployment (AWS AI/ML, Azure AI, Google Cloud AI).
- Hands-on experience with data pipelines, ETL processes, and real-time data processing.
- Business & Analytical Skills:
- Strong ability to analyze large datasets and provide data-driven business insights.
- Ability to develop AI-driven commercial strategy, sales forecasting, and market analytics models.
- Work Environment:
- Ability to work in a fast-paced, technology-driven environment.
- Flexibility to collaborate with cross-functional teams.
- Strong project management and multitasking skills.
- Tools & Platforms:
- Proficiency in BI and analytics tools.
- Experience in Robotic Process Automation (RPA) tools is a plus.
#J-18808-Ljbffr
Artificial Intelligence (AI) Engineer
Posted today
Job Viewed
Job Description
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POSITION INFO:
Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.
Artificial Intelligence (AI) Engineer
Recruiter:
WatersEdge Solutions
Job Ref:
Date posted:
Wednesday, June 11, 2025
Location:
Johannesburg, South Africa
SUMMARY:
POSITION INFO:
Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.
About The Role
This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.
Key Responsibilities
- AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.
- Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.
- Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.
- Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.
- Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.
- Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.
- Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.
Must-Have:
- PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
- 3+ years of hands-on experience developing and deploying AI/ML solutions
- Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn
- Strong knowledge of generative AI, machine learning, and data science
- Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud
- Excellent communication, problem-solving, and cross-functional collaboration skills
- Experience in smart grid systems, automation, or data-intensive domains
- Background in AI research or academic publishing
- Contributions to open-source AI projects or community initiatives
- Familiarity with AI governance and compliance
- Competitive market salary
- Growth opportunities in a dynamic and innovation-driven environment
- Collaborative culture with support for technical development and research
- Opportunity to make meaningful impact in industries undergoing digital transformation
- Innovation-First Mindset – Always looking to build smarter, faster, and better.
- Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.
- Integrity in AI – Committed to ethical, responsible use of emerging technologies.
- Real-World Impact – Dedicated to solving real problems with scalable AI solutions.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Advertising Services
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About the latest Neural networks Jobs in South Africa !
Artificial Intelligence (AI) Specialists
Posted 9 days ago
Job Viewed
Job Description
The AI Specialist role will be centered around the following functions: a) Leveraging AI and machine learning, focusing on automating manual processes, improving data analysis and deploying AI-powered solutions for electoral, research and administrative functions. b) Developing and implementing an AI strategy aligned with organisational goals c) AI adoption road-map and implementation plan d) Identifying manual processes that can be automated using AI d) Deploying scalable, cloud-based AI solutions integrated with existing systems.
Artificial Intelligence (AI) Engineer
Posted 10 days ago
Job Viewed
Job Description
Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.
About the Role
This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.
Key Responsibilities
AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.
Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.
Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.
Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.
Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.
Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.
Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.
Skills & Experience
Must-Have:
PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
3+ years of hands-on experience developing and deploying AI/ML solutions
Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn
Strong knowledge of generative AI, machine learning, and data science
Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud
Excellent communication, problem-solving, and cross-functional collaboration skills
Preferred:
Experience in smart grid systems, automation, or data-intensive domains
Background in AI research or academic publishing
Contributions to open-source AI projects or community initiatives
Familiarity with AI governance and compliance
Compensation & Benefits
Competitive market salary
Growth opportunities in a dynamic and innovation-driven environment
Collaborative culture with support for technical development and research
Opportunity to make meaningful impact in industries undergoing digital transformation
Company Culture & Values
Innovation-First Mindset – Always looking to build smarter, faster, and better.
Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.
Integrity in AI – Committed to ethical, responsible use of emerging technologies.
Real-World Impact – Dedicated to solving real problems with scalable AI solutions.
If you have not been contacted within 10 working days, please consider your application unsuccessful.
SAP Artificial Intelligence (AI) Consultant
Posted 8 days ago
Job Viewed
Job Description
SAP Artificial Intelligence (AI) Consultant
2025-06-24 - 2025-07-31
Contractor
JHB002793
Information Technology
Recruiting for a SAP Artificial Intelligence (AI) Consultant.
Qualifications:
- Relevant Degree or Diploma
- Relevant Certifications
- Integrating and leveraging artificial intelligence within SAP systems to enhance business processes, improve decision-making, and drive digital transformation.
- Help the organizations utilize AI-powered tools like SAP to streamline operations, optimize workflows, and achieve better business outcomes.
- Help the organizations prepare for the future by leveraging the latest AI technologies and staying ahead of the curve in digital transformation.