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Jobs in Gqeberha, South Africa

Research Lead

AfriClimate AI

Johannesburg
Remote
ZAR 500,000 - 600,000
30+ days ago
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Product Managers

Exclusively Remote

Johannesburg
Remote
ZAR 200,000 - 300,000
30+ days ago

Technical Lead

Tumaini

Wes-Kaap
Remote
ZAR 400,000 - 500,000
30+ days ago

Software Engineer II

RELX

Durban
Remote
ZAR 500,000 - 700,000
30+ days ago

2nd Line Support Engineer

Uptime Solutions

Milnerton
Remote
ZAR 200,000 - 300,000
30+ days ago
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Senior Account Executive (Remote – Eastern Time Zone Hours)

Growth Troops

Johannesburg
Remote
ZAR 300,000 - 400,000
30+ days ago

Tracer- Mitchells Plain

Evolution Group

Wes-Kaap
Remote
ZAR 300,000 - 400,000
30+ days ago

Engineering Manager

Sealed

South Africa
Remote
ZAR 800,000 - 1,200,000
30+ days ago
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Hustler Marketing

Cape Town
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ZAR 200,000 - 300,000
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Banking Business Analyst

Exusia

South Africa
Remote
ZAR 500,000 - 700,000
30+ days ago

Academic Research Assistant (Part time)

Aquarius Specialist Recruitment

Cape Town
Remote
ZAR 50,000 - 200,000
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Executive Placings

South Africa
Remote
ZAR 300,000 - 400,000
30+ days ago

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takealot.com

South Africa
Remote
ZAR 600,000 - 800,000
30+ days ago

Remote Advisory Committee Member – Emocien Limited

Jobspaddy

Johannesburg
Remote
ZAR 1,000
30+ days ago

Portfolio Management Admin Support - Remote

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Johannesburg
Remote
ZAR 200,000 - 300,000
30+ days ago

Solutions Engineer

DigiCert

South Africa
Remote
ZAR 500,000 - 800,000
30+ days ago

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South Africa
Remote
ZAR 70,000 - 90,000
30+ days ago

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Johannesburg
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ZAR 300,000 - 500,000
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Johannesburg
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ZAR 250,000 - 400,000
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Growth Troops

Cape Town
Remote
ZAR 1,231,000 - 2,112,000
30+ days ago

Content Creator – Remote – Ideally PMB / Surroundings Based

Accountancy Placements

Pietermaritzburg
Remote
ZAR 200,000 - 300,000
30+ days ago

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Accountancy Placements Pietermaritzburg

Pietermaritzburg
Remote
ZAR 200,000 - 300,000
30+ days ago

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TechBiz Global GmbH

Randburg
Remote
ZAR 200,000 - 300,000
30+ days ago

Tele sales agent

Reeprint

Johannesburg
Remote
ZAR 200,000 - 300,000
30+ days ago

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Tyron Consultancy

South Africa
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ZAR 200,000 - 300,000
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Research Lead
AfriClimate AI
Johannesburg
Remote
ZAR 500,000 - 600,000
Full time
30+ days ago

Job summary

A climate research organization is seeking a Research Lead to guide AI-driven climate modeling efforts. The ideal candidate will coordinate teams and collaborate to produce high-quality, impactful research. Essential qualifications include a PhD in a relevant field and proficiency in Python. This role offers flexible, remote work options and competitive compensation, promoting community-driven climate solutions across Africa.

Benefits

Flexible, remote-first work
Access to mentorship and leading conferences
Competitive compensation
Collaborative culture
Travel opportunities

Qualifications

  • PhD or equivalent experience in relevant field.
  • Proven track record in AI or statistical modelling applications.
  • Experience with geospatial and gridded datasets required.
  • Proficiency in Python essential.
  • Excellent communication skills a must.

Responsibilities

  • Lead design and implementation of climate forecasting methodologies.
  • Manage cross-functional teams for data collection and model deployment.
  • Collaborate with meteorological agencies and academic institutions.
  • Present research findings at workshops and policy forums.
  • Contribute to open-source codebases and datasets.

Skills

AI-driven climate modelling
Statistical modelling
Geospatial datasets
Python
Communication skills

Education

PhD in Meteorology, Climate Science, Machine Learning, or related field

Tools

MLflow
Kubeflow
Docker
Kubernetes
Jira
Job description

The Research Lead will provide scientific and operational leadership for AfriClimate AI’s applied research portfolio, guiding the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. The role involves coordinating a multidisciplinary team, collaborating with African and international partners, and ensuring research outputs are high-quality, open, and impactful.

Research Leadership & Delivery

  • Lead the design, implementation, and evaluation of AI-powered, localised climate and weather forecasting methodologies.
  • Support the integration of observational data, satellite products, and global reanalysis datasets with AI-based and statistical models.
  • Develop benchmarking frameworks for model performance, including bias correction and uncertainty quantification.
  • Implement and manage MLOps pipelines for training, deployment, monitoring, and updating AI models in production environments.
  • Coordinate cross-functional teams on data collection, model training, and deployment.
  • Manage timelines, milestones, and deliverables in line with project objectives.

Stakeholder Engagement and Knowledge Dissemination

  • Collaborate with meteorological agencies, academic institutions, and industry partners.
  • Present research findings at workshops, conferences, and policy forums.
  • Publish results in peer-reviewed journals and present at leading conferences.
  • Contribute to open-source codebases, datasets, and technical documentation.
  • Requirements

    Essential Qualifications & Experience

  • PhD (or equivalent experience) in Meteorology, Climate Science, Machine Learning, or related field.
  • Proven track record in AI or statistical modelling for climate or weather applications.
  • Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, satellite data).
  • Knowledge of numerical weather prediction (NWP) systems and data assimilation.
  • Proficiency in Python.
  • Excellent communication skills required, including the ability to convey complex ideas clearly to both technical and non-technical audiences.
  • Strong publication record and ability to communicate research to diverse audiences.
  • Desirable Skills & Experience

  • Experience working with African climate datasets and / or in data-sparse contexts.
  • Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) for model lifecycle management.
  • Proven experience in setting up project workflows and using tools such as Jira, with a strong understanding of agile methodologies, including Scrum.
  • Experience in cloud-based ML workflows (AWS, GCP, Azure) and GPU / TPU environments.
  • Expertise in bias correction, ensemble forecasting, and probabilistic skill assessment.
  • Experience in engaging with policy and decision-making communities.
  • Familiarity with open science and FAIR data principles.
  • Benefits

    AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

  • Mission-driven impact : Contribute to climate resilience and equity across Africa through open, locally grounded research.
  • Flexible, remote-first work : Collaborate with an international network while working from anywhere in Africa.
  • Leadership & visibility : Represent AfriClimate AI in high-level forums, co-author publications, and influence global conversations on AI for climate.
  • Open science ethos : Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
  • Professional growth : Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
  • Collaborative culture : Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
  • Travel opportunities : Participate in key events, workshops, and field collaborations across Africa and beyond.
  • Competitive compensation : Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location.
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    * The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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