274 Neural Networks jobs in South Africa

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 receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population 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 Opportunity TheAfrican 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 Tensor Flow 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 Git Hub 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. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) 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 date Immediately, 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-Ljbffr

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 receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population 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 Opportunity TheAfrican 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 Tensor Flow 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 Git Hub 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. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) 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 date Immediately, 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-Ljbffr

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

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Senior Artificial Intelligence & Machine Learning Engineer

Overview

To work with business stakeholders to identify and deliver on new AI initiatives. To apply deep domain expertise to shape/influence the AI-thinking in the organisation through thought leadership; enabling the successful adoption and acceleration of AI and ML across Standard Bank Group (SBG), ensuring the needs of stakeholders are correctly understood and addressed.

Business Segment: Group Functions

Location: ZA, GP, Johannesburg, Baker Street 30

Qualifications

• Post Graduate Degree in Information Technology
• 5 - 7 Years' experience in the Artificial Intelligence and Machine Learning area

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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 #J-18808-Ljbffr

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 #J-18808-Ljbffr

Qualifications

• Associate or Bachelor’s degree in Artificial Intelligence or related field.
• At least 3-5 years of experience in designing and developing AI software.
• Strong knowledge of AI algorithms, techniques and technologies.
• Proficiency in coding languages such as Python, C++, Java, etc.
• Required specialist soft skills: Excellent problem solving and analytical skills. Strong communication, collaboration and interpersonal skills. Ability to work independently and in a team environment. Highly organized and detail oriented. Creative and innovative mindset.

Core Competencies & Responsibilities

• Advise stakeholders and executives on a broad range of technology, strategy, and policy issues associated with AI.
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership.
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
• Manage a team in conducting assessments of the AI and automation market and competitor landscape.
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.

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Overview

Sherlock Holmes of Sourcing | Recruitment Researcher | Talent Detective for Hidden Gems!

We’re on the hunt for an AI Genius!

Are you the type of person who dreams in algorithms, speaks in code, and breathes AI innovation? We’re looking for an Intermediate AI Specialist who’s ready to build the future today.

This isn’t just another job, it’s your chance to engineer intelligence . You’ll be working full-time, on-site in the heart of Sandton, Gauteng , where bold ideas turn into cutting-edge solutions.

Your Impact

• Design and train AI/ML models built for the unique challenges of collections and recoveries.
• Build intelligent chatbots and voice AI systems that engage customers at scale.
• Apply the latest AI frameworks, languages, and platforms to optimize conversations that drive results.
• Transform high-volume, high-pressure environments into seamless, automated solutions.

Core Technical Skills

• Generative AI & LLMs (GPT, LLaMA, Claude, Falcon, PaLM, etc.) with fine-tuning & prompt engineering.
• NLP & Speech (Whisper, wav2vec, Hugging Face, conversational AI/chatbot frameworks).
• Frameworks & APIs : Hugging Face, PyTorch/TensorFlow, LangChain, OpenAI/Anthropic APIs.

Key Experience

• Hands-on projects with LLMs, chatbots, transcription, and RAG pipelines .
• Bonus: research/papers on NLP, generative AI, or deep learning.

What We’re Looking For

• Degree in Mathematics, Statistics, Actuarial Science, or Data Science .
• Bonus: background in collections, contact centres, or financial services .
• Obsessed with innovation, speed, and results .

If you’re ready to be the AI brain behind groundbreaking solutions and thrive in a fast-paced, high-impact environment, we want you!

Contact :

Disclaimer: If you do not hear back from us within two weeks, please consider your application for this vacancy unsuccessful. Your profile will be kept on our database for any other suitable roles in the future. We also invite you to reach out to us to discuss your next finance career opportunity.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance
• Staffing and Recruiting

Get notified about new Artificial Intelligence Specialist jobs in Johannesburg Metropolitan Area .

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Artificial Intelligence Engineer

High5 City of Cape Town, Western Cape, South Africa

We are seeking a dynamic and communicative Contact Center AI Engineer to join our team. In this role, you will work closely with our contact center operations team to deploy and customize AI copilots for various use cases within contact center environments. You will be responsible for writing technical requirements, mapping customer needs, and conducting light integrations with contact center applications. As a brand ambassador and local product evangelist, you will be responsible for understanding, promoting, and presenting our solutions to both internal teams and external stakeholders.

Responsibilities

• Partner with contact center operational leads to translate contact center operational needs into scalable AI copilot solutions.


• Mapping customer requirements into clear technical specifications for low-code or API-based integrations.


• Conduct hands-on integrations and API configurations with CRMs, telephony systems, case management tools, and data mapping to tailor AI copilots for specific contact center use cases.


• Design and document technical requirements and data flows to guide development and ensure seamless integration with contact center platforms.


• Serve as a trusted advisor and local evangelist for AI-driven contact center solutions, delivering demos, workshops, and stakeholder briefings.


• Provide prompt engineering and optimization support to refine AI copilot responses and enhance customer interactions.


• Stay abreast of emerging trends in generative AI, conversational AI, and contact center technologies, proactively identifying opportunities for innovation.


• Bridge communication between technical teams, operations leaders, and client stakeholders to ensure solutions deliver measurable business outcomes.


• Develop training materials, user guides, and knowledge assets to drive adoption and empower end-users.


• Track and analyze solution performance metrics, generating insights and recommendations for ongoing improvement.


• Act as a brand ambassador, promoting our solutions internally and externally to build excitement and drive market success.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field


• 5+ years of experience as a software engineer, data scientist, software architect, solutions consultant, or similar role in a technology-driven environment, ideally within contact center, SaaS, or AI domains.


• Hands-on experience designing technical requirements and documenting data flows for low-code or API-based integrations.


• Experience with Python, including frameworks such as FastAPI, Flask, or Django.


• Familiarity with the development of APIs and integrations with CRM, telephony, or case management systems.


• Experience with prompt engineering and optimization in generative AI or conversational AI solutions.


• Demonstrates a proactive approach to innovation and effectively overcomes resistance to change.


• Excellent communication skills, both verbal and written, with the ability to present complex ideas to diverse audiences.


• Strong analytical and problem-solving skills


• Ability to quickly learn and adapt to new technologies and methodologies


• Experience in project management and stakeholder engagement


• Strong interpersonal skills with a talent for building relationships across various levels of an organization.

Preferred Qualifications

• Experience working in or with contact centers


• Understanding of key contact center metrics and operations management principles


• Advanced skills in prompt engineering, including concepts such as zero-shot, few-shot, chain-of-thoughts, and others.


• Familiarity with API integrations and technical solution design for SaaS or cloud-based platforms.


• Previous experience as a product evangelist or in a similar role promoting technology solutions.


• Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau)


• Experience with agile methodologies

What Sets You Apart

• Passion for technology and its potential to transform business operations


• Ability to work with ambiguity, driven to action.


• Ability to think like an operations manager while communicating technical concepts


• Natural curiosity and problem-solving mindset, with a drive to connect technology capabilities to real-world use cases.


• Enthusiasm for public speaking and giving presentations


• Adaptability to work in a fast-paced, evolving technology landscape


• Commitment to continuous learning and staying ahead of industry trends.

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