164 AI Engineer Africa 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 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.

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 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.

• 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.

Immediately, in-person in Cape Town

1. A complete CV,
2. Proof of Ph.D. completion,
3. 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.

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.

The 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.

• 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.

Immediately, in-person in Cape Town

1. A complete CV,
2. Proof of Ph.D. completion,
3. 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.

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

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

Join to apply for the AI Engineer - 0660 - Durban, South Africa role at Bionic Talent

4 days ago Be among the first 25 applicants

Join to apply for the AI Engineer - 0660 - Durban, South Africa role at Bionic Talent

This range is provided by Bionic Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

About the client:

Our client is a U.S.-based personal injury law firm known for its commitment to innovation, efficiency, and delivering exceptional legal support to its clients. With a forward-thinking approach to legal operations, they’re constantly exploring new ways to streamline processes, enhance client experience, and improve case outcomes. The team thrives on creativity, technology, and building systems that redefine how law firms operate.

About the role:

Our client is seeking a skilled AI Engineer with hands-on expertise in building, training, and deploying AI-driven automations—particularly using the Claude API. The ideal candidate will architect and implement a suite of custom bots and tools for legal intake, document generation, litigation support, lead management, and internal process automation. You must be able to conceptualize and build out complex AI tasks independently and integrate these into various platforms used by the firm.

What you’ll be doing:

• Build voice bots to follow up with leads, qualify them, and initiate live transfers for potential clients.
• Create bots to set up insurance claims and gather key information, integrating it directly into client files.
• Design bots to follow up on client doctor visits, retrieve records, log updates, and flag issues that need attention.
• Build tools to scan uploaded medical records and books, summarize key findings, identify impairments, and draft demand letters with estimated future costs.
• Create bots (voice or email-based) to obtain lien amounts, track mailed checks, and update settlement records.
• Develop bots to draft legal documents such as complaints, discovery requests, motions, and trial materials (e.g., opening/closing arguments, deposition outlines).
• Build tools to analyze internal systems, map workflows, and auto-generate video training modules for the team onboarding and process adherence.
• Deploy bots that continually scan the firm’s website for broken links, errors, or performance issues.
  
  

• 3+ years of experience in AI/ML engineering or automation development.
• Proven experience working with Claude API or similar LLM APIs.
• Strong Python skills and familiarity with prompt engineering techniques.
• Experience building bots for process automation, voice tasks, and document generation.
• Comfortable integrating AI tools into CRMs, databases, and internal platforms.
• Familiarity with legal terminology and workflows (preferred but not required).
• Excellent communication, problem-solving, and organizational skills.
• Self-motivated, highly analytical, and proactive in identifying AI solutions.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Human Resources Services

Referrals increase your chances of interviewing at Bionic Talent by 2x

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Join to apply for the AI Engineer - 0634 - Johannesburg, South Africa role at Bionic Talent

2 days ago Be among the first 25 applicants

Join to apply for the AI Engineer - 0634 - Johannesburg, South Africa role at Bionic Talent

This range is provided by Bionic Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

About the client:

Our client is a U.S.-based personal injury law firm known for its commitment to innovation, efficiency, and delivering exceptional legal support to its clients. With a forward-thinking approach to legal operations, they’re constantly exploring new ways to streamline processes, enhance client experience, and improve case outcomes. The team thrives on creativity, technology, and building systems that redefine how law firms operate.

About the role:

Our client is seeking a skilled AI Engineer with hands-on expertise in building, training, and deploying AI-driven automations—particularly using the Claude API. The ideal candidate will architect and implement a suite of custom bots and tools for legal intake, document generation, litigation support, lead management, and internal process automation. You must be able to conceptualize and build out complex AI tasks independently and integrate these into various platforms used by the firm.

What you’ll be doing:

• Build voice bots to follow up with leads, qualify them, and initiate live transfers for potential clients.
• Create bots to set up insurance claims and gather key information, integrating it directly into client files.
• Design bots to follow up on client doctor visits, retrieve records, log updates, and flag issues that need attention.
• Build tools to scan uploaded medical records and books, summarize key findings, identify impairments, and draft demand letters with estimated future costs.
• Create bots (voice or email-based) to obtain lien amounts, track mailed checks, and update settlement records.
• Develop bots to draft legal documents such as complaints, discovery requests, motions, and trial materials (e.g., opening/closing arguments, deposition outlines).
• Build tools to analyze internal systems, map workflows, and auto-generate video training modules for the team onboarding and process adherence.
• Deploy bots that continually scan the firm’s website for broken links, errors, or performance issues.
  
  

• 3+ years of experience in AI/ML engineering or automation development.
• Proven experience working with Claude API or similar LLM APIs.
• Strong Python skills and familiarity with prompt engineering techniques.
• Experience building bots for process automation, voice tasks, and document generation.
• Comfortable integrating AI tools into CRMs, databases, and internal platforms.
• Familiarity with legal terminology and workflows (preferred but not required).
• Excellent communication, problem-solving, and organizational skills.
• Self-motivated, highly analytical, and proactive in identifying AI solutions.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Human Resources Services

Referrals increase your chances of interviewing at Bionic Talent by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the AI Engineer - 0660 - Johannesburg, South Africa role at Bionic Talent

Join to apply for the AI Engineer - 0660 - Johannesburg, South Africa role at Bionic Talent

Get AI-powered advice on this job and more exclusive features.

This range is provided by Bionic Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

About the client:

Our client is a U.S.-based personal injury law firm known for its commitment to innovation, efficiency, and delivering exceptional legal support to its clients. With a forward-thinking approach to legal operations, they’re constantly exploring new ways to streamline processes, enhance client experience, and improve case outcomes. The team thrives on creativity, technology, and building systems that redefine how law firms operate.

About the role:

Our client is seeking a skilled AI Engineer with hands-on expertise in building, training, and deploying AI-driven automations—particularly using the Claude API. The ideal candidate will architect and implement a suite of custom bots and tools for legal intake, document generation, litigation support, lead management, and internal process automation. You must be able to conceptualize and build out complex AI tasks independently and integrate these into various platforms used by the firm.

What you’ll be doing:

• Build voice bots to follow up with leads, qualify them, and initiate live transfers for potential clients.
• Create bots to set up insurance claims and gather key information, integrating it directly into client files.
• Design bots to follow up on client doctor visits, retrieve records, log updates, and flag issues that need attention.
• Build tools to scan uploaded medical records and books, summarize key findings, identify impairments, and draft demand letters with estimated future costs.
• Create bots (voice or email-based) to obtain lien amounts, track mailed checks, and update settlement records.
• Develop bots to draft legal documents such as complaints, discovery requests, motions, and trial materials (e.g., opening/closing arguments, deposition outlines).
• Build tools to analyze internal systems, map workflows, and auto-generate video training modules for the team onboarding and process adherence.
• Deploy bots that continually scan the firm’s website for broken links, errors, or performance issues.
  
  

• 3+ years of experience in AI/ML engineering or automation development.
• Proven experience working with Claude API or similar LLM APIs.
• Strong Python skills and familiarity with prompt engineering techniques.
• Experience building bots for process automation, voice tasks, and document generation.
• Comfortable integrating AI tools into CRMs, databases, and internal platforms.
• Familiarity with legal terminology and workflows (preferred but not required).
• Excellent communication, problem-solving, and organizational skills.
• Self-motivated, highly analytical, and proactive in identifying AI solutions.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Human Resources Services

Referrals increase your chances of interviewing at Bionic Talent by 2x

Get notified about new Artificial Intelligence Engineer jobs in Johannesburg, Gauteng, South Africa .

Johannesburg, Gauteng, South Africa $1,400.00-$,000.00 1 week ago

Johannesburg, Gauteng, South Africa 1,400.00- 2,000.00 1 week ago

Johannesburg, Gauteng, South Africa ZAR85,000.00-ZAR110,000.00 6 hours ago

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Die sovanta AG optimiert den Einsatz von SAP mit Hilfe von Software Development, UX Design und künstlicher Intelligenz.

Du hast Lust in einem innovativen Arbeitsumfeld mit neusten Technologien zu arbeiten? Teamspirit, flexible Arbeitszeiten und eigene Projekte sind dir wichtig? Du hast Lust und Zeit, unser Team für 3-6 Monate zu unterstützen? Dann freuen wir uns auf deine Bewerbung

Was dich bei sovanta erwartet

• Zukunftsorientiertes Arbeiten mit modernen Cloud- (AWS/Azure), SAP-, Web- und mobilen Technologien
• Du kannst nach individuellem Interesse eigene Projekte wählen und dabei einen dieser Schwerpunkte legen: Natural Language Processing, Predictive Analytics oder Computer Vision
• Bei sovanta bist du von Anfang an fester Bestandteil deines Teams und sammelst neben dem Studium wertvolle Berufserfahrung
• Dank unserem strukturierten Onboarding wirst du dich schnell bei uns zurechtfinden und lernst darüber hinaus auch andere Abteilungen kennen
• Beim Welcome Lunch lernst du direkt viele andere sovantees kennen
• Ein Mentor* steht dir ab Tag eins zur Seite und unterstützt dich bei allen fachlichen und organisatorischen Fragen
• Wir leben von einem engen Austausch und legen viel Wert auf unsere regelmäßigen Knowledge-Sharing-Sessions, Unit Meetings und Feedbackgespräche
• Sommerfeste, X-Mas Party oder Lunch Roulette – auf dich warten Company Events vom Feinsten, lass dich überraschen!
• Sei bei unseren Health Days dabei und sammle wertvolle Tipps für einen gesünderen Alltag oder drehe eine Runde mit den sovanta Bikes
• Werde Teil der sovanta-Familie – unser großartiges Team kann es kaum erwarten, dich schon bald zu begrüßen!
  
  

• Du unterstützt unsere Data Scientists* beim Umsetzen kleiner PoCs sowie komplexen Kundenprojekten
• Du unterstützt bei spannenden Aufgaben im Bereich Data Science und Machine Learning
• Bei innovativen Kundenprojekten wirst du eingebunden und arbeitest dort mit den neusten Technologien (z.B. GenAI)
• Du übernimmst die Recherche, Evaluation und Einbindung von state-of-the-art ML-Modellen und -Techniken
• Du trainierst und optimierst eigene, aufgabenspezifische Modelle
• Du begleitest Projekte im gesamten Entwicklungszyklus: von Anforderungsaufnahme über Design und Entwicklung bis hin zu Dokumentation und Deployment
  
  

• Du studierst im Bereich Data/Web Science, Informatik, Wirtschaftsinformatik oder vergleichbar und hast hervorragende Noten
• Du kannst solide Grundkenntnisse von Methoden und Werkzeugen aus dem Bereich Data Science vorweisen
• Du hast bereits erste Erfahrungen in mindestens einer der nachfolgenden Programmiersprachen: Python, R oder Java
• Du brennst für das Arbeiten mit großen Datenmengen und Datenbanken
• Dich zeichnet eine kreative Herangehensweise an die immer komplexer werdende Geschäfts- und IT-Welt aus
• Gute Deutsch- und Englischkenntnisse runden dein Profil ab
  
  

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Calling all AI explorers! Join a cutting-edge lab where your GenAI models shape the future.

From LLMs to data pipelines, you’ll help build intelligence that evolves .

A leading tech-driven organisation is seeking a Generative AI/Data Science specialist to join their innovation lab. This role involves deep AI model development and strong data engineering fundamentals. You’ll focus on building and refining LLM-powered solutions , emphasizing RAG (Retrieval Augmented Generation) frameworks using tools like LangChain and LlamaIndex .

You will partner with data engineers to ensure clean, scalable data pipelines , work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. Additionally, you’ll experiment with new GenAI techniques, support MLOps efforts, and communicate findings to both technical and non-technical stakeholders.

Skills & Experience:

• 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI
• Proficiency with Python , SQL , and libraries like Pandas and NumPy
• Practical experience with LangChain , LlamaIndex , or other LLM ecosystems
• Strong background in ETL , data engineering , and dimensional modelling
• Experience working across cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker , Kubernetes , and model deployment best practices
• Exposure to vector databases , Spark , or Hadoop is advantageous
• Confident communicator who can translate complex AI concepts into actionable insights

Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields
• Preferred certifications (not required but advantageous):
• AWS Certified Machine Learning / AI Practitioner
• GCP Professional ML Engineer / Associate Cloud Engineer
• Microsoft Azure AI Engineer / Data Scientist

If you’re ready to join a team where innovation thrives and your AI models will thrive , get in touch for a confidential chat.

Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence .

Contact Kauthar Marcus at or , quoting the Ref: CTI005560 .

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