52 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 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

4 weeks ago Be among the first 25 applicants

Job Type: Full-time

Salary: $1,500 /month (based on experience)

Start Date: Immediate

About Huzzle

Huzzle is the leading talent platform that connects top-tier sales professionals from emerging talent hubs with high-growth UK, US, and global startups. We're not a staffing agency—we embed you directly with the client, provide a structured 30-day onboarding playbook, rolling 90-day success plans, and continuous career coaching so you can grow long-term with your new company.

About The Company

Join a leading SaaS innovator in the AI-powered go-to-market space. Their platform builds on- and off-the-shelf AI agents that turbo-charge revenue teams at both B2B and B2C organisations. Backed by cutting-edge technology, strong leadership, and recent funding, the company is scaling rapidly across North America and Europe—and they're looking for a hunter SDR to accelerate outbound pipeline.

Job Summary

As a Senior / Mid-Level SDR you'll be the tip of the spear for outbound sales. Using pre-researched warm and cold prospect lists, you will connect with CEOs of SMBs (<30 employees) and Marketing/Sales leaders at mid-market firms (31-250 employees). Your mission: book qualified product demos for our Account Executives, smash quota at 150 %, and unlock uncapped commission. If you're driven, curious, and passionate about AI, this remote sales job is for you!

Our Hiring Process:

• Submit Your Application
• Screening AI Video Interview (15 min max)
• Final Face-to-Face Interview
• Successful candidates are admitted to our talent pool, gaining access to exclusive opportunities
• We match you with a client for a final interview
  
  

• 2+ years of outbound sales or lead-gen experience in B2B SaaS (Senior) OR 1-2 years (Mid-Level)
• Proven track record of booking demos with CEOs, founders, or department heads
• Hunter mentality: you thrive on targets, competition, and overachievement
• Fluent English with exceptional phone and written communication skills
• Hands-on with HubSpot (or similar CRM like Salesforce, Pipedrive) and modern sales tech stacks
• Comfort working 100 % remotely and aligning with US EST hours
• Fast learner who can master new AI products and value props quickly
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Huzzle.com by 2x

South Africa $15,000. 0- 24,000.00 3 weeks ago

Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa $800 00- 1,000.00 2 months ago

Cape Town, Western Cape, South Africa 800.00- 1,000.00 2 weeks ago

South Africa ZAR180,000.00-ZAR420,000.00 1 day ago

Johannesburg, Gauteng, South Africa ZAR465,000.00-ZAR644,000.00 6 days ago

Cape Town, Western Cape, South Africa 2 weeks ago

South Africa ZAR300,000.00-ZAR600,000.00 1 month ago

Johannesburg, Gauteng, South Africa 900.00- 1,200.00 1 month ago

Cape Town, Western Cape, South Africa 900.00- 1,200.00 2 weeks ago

Cape Town, Western Cape, South Africa 800.00- 1,000.00 2 months ago

Pretoria, Gauteng, South Africa ZAR18,000.00-ZAR25,000.00 4 weeks ago

Cape Town, Western Cape, South Africa 900.00- 1,200.00 1 week ago

Cape Town, Western Cape, South Africa 900.00- 1,200.00 1 month ago

Pretoria, Gauteng, South Africa 3 weeks ago

Pretoria, Gauteng, South Africa ZAR18,000.00-ZAR25,000.00 1 month ago

South Africa 18,000.00- 30,000.00 2 months ago

Pretoria, Gauteng, South Africa 2 months ago

Johannesburg, Gauteng, South Africa 900.00- 1,200.00 2 months ago

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

• 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

• 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.

Preffered Requirements: 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: 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 (SEND CV IN PDF FORMAT)