View more
9 hours ago
Econet Wireless Zimbabwe is inviting applications from technically capable, curious and delivery-focused professionals to join its AI and technology teams.
Successful candidates will work in a fast-moving, collaborative environment supporting artificial intelligence, digital platforms, data solutions, software development and continuous improvement.
Job Summary
- Employer: Econet Wireless Zimbabwe
- Job Type: Full-time
- Location: Harare, Zimbabwe
- Category: Information Technology
- Salary: Competitive
- Closing Date: 2026-10-18
Key Responsibilities
- work in a fast-moving, collaborative environment supporting artificial intelligence, digital platforms, data solutions, software development and continuous improvement
Requirements
- technically capable, curious and delivery-focused professionals
Salary
Competitive
How to Apply
Apply by email: careers@econet.co.zw
About the Company
Econet Wireless Zimbabwe is a diversified telecommunications group; it is the largest enterprise of its kind in Zimbabwe and the largest company on the Zimbabwe Stock Exchange in terms of market capitilisation. Econet Wireless Zimbabwe provides products and solutions for mobile and fixed wireless telephony, public payphones, internet access and payment solutions. In 2009, Econet Wireless Zimbabwe became the first operator in Zimbabwe to launch data services with 3G capability. This was followed by an extensive project to expand its geographic coverage; building a fibre-optic network, providing financial transaction switching and point-of-sale and value-added retail support services. The company is a subsidiary of a privately-owned group controlled by its founder, Strive Masiyiwa. The group’s subsidiaries include Econet Global, Econet Wireless Africa, Econet Wireless International, Econet Enterprises, Liquid Telecom Group and Econet Media.
Frequently Asked Questions
What qualifications or certifications do I need to become an AI Engineer at a company like Econet Wireless Zimbabwe?
Most employers require a Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field from a recognized Zimbabwean university such as UZ or NUST. Practical experience with machine learning frameworks like TensorFlow or PyTorch is essential, and certifications from platforms like Coursera, edX, or AWS can strengthen your application.
What are the typical day-to-day responsibilities of an AI Engineer in Zimbabwe's telecom sector?
You will spend most days building and optimizing machine learning models for network optimization, customer analytics, or fraud detection. Collaboration with data teams to clean local datasets and deploying AI solutions that work with Zimbabwe's infrastructure constraints are also core tasks.
How does workplace culture in Zimbabwean tech companies affect AI Engineering roles?
Zimbabwean tech workplaces value respect for hierarchy and clear communication, so expect regular reporting to senior engineers or IT managers. Punctuality and adaptability are important, as power outages and connectivity issues may require flexible working arrangements or remote work protocols.
What career progression opportunities exist for AI Engineers in Zimbabwe?
With experience, you can advance to Senior AI Engineer, Lead Data Scientist, or AI Product Manager roles within large organizations. Some engineers transition into consultancy or founding local AI startups, though opportunities for specialized advancement may require relocating to regional hubs like South Africa or pursuing further postgraduate studies.
What benefits should I expect as a full-time AI Engineer in Zimbabwe?
Standard benefits typically include annual leave as prescribed by Zimbabwean labour law, medical aid coverage, and pension contributions through NSSA or private schemes. Larger employers like Econet may offer additional perks such as performance bonuses, staff data bundles, or professional development allowances.
How do I apply for AI Engineering roles in Zimbabwe, and what do employers prioritize?
Apply through company career portals, LinkedIn, or Zimbabwean job boards like VacancyMail and CV People Africa. Employers prioritize demonstrated project experience, so maintain a GitHub portfolio with locally relevant projects and prepare for technical assessments that test both coding and problem-solving under resource constraints.
