Econet AI Engineers Recruitment 2026: Apply for Econet AI Engineers and Technology Roles
Hiring Organisation: Econet
Positions: AI Engineers and Technology Professionals
Location: Zimbabwe
Employment Type: Full-time
Application Deadline: 22 June 2026
Application Method: Email application careers@econet.co.zw
Econet AI Engineers
Join our WhatsApp Group
Econet is inviting applications from experienced technology professionals to join its growing innovation team through its latest recruitment drive for Econet AI Engineers and related technical positions. The company is seeking individuals with expertise in artificial intelligence, software development, data engineering, and DevOps to help build solutions that support business growth and digital transformation.
The Econet AI Engineers recruitment campaign targets candidates who are passionate about artificial intelligence and emerging technologies. Successful applicants will work on projects involving machine learning, automation, scalable software systems, and data-driven decision-making.
In addition to AI Engineers, the recruitment includes opportunities for AI Operations Engineers, DevOps Engineers, Software Engineers, Data Engineers, and Data Scientists. These roles are expected to contribute to the design, deployment, monitoring, and continuous improvement of technology platforms across the organisation.
Available Roles and Responsibilities
The Econet AI Engineers team will design and deploy artificial intelligence solutions that address business challenges and improve operational efficiency. AI Operations Engineers will oversee production environments, monitor model performance, and automate retraining workflows to ensure reliability at scale.
Software Engineers will develop scalable applications and APIs that power AI systems, while DevOps Engineers will build and maintain CI/CD pipelines and automate infrastructure deployments. Data Engineers will create reliable data platforms for analytics and machine learning, and Data Scientists will apply statistical methods and predictive models to generate business insights.
| Category | Requirements |
|---|---|
| Employer | Econet |
| Positions | AI Engineers, AI Operations Engineers, DevOps Engineers, Software Engineers, Data Engineers, Data Scientists |
| Education | Bachelor’s degree in AI, Machine Learning, Data Science, Computer Science, Software Engineering, Computer Engineering, Actuarial Science, IT, or related field |
| Experience | 2 to 4 years in a similar or related role |
| Technical Skills | Python programming, machine learning, statistical modelling, data analysis, TensorFlow or similar frameworks |
| Key Attributes | Problem-solving ability, teamwork, communication skills, collaborative mindset |
| Application Method | Email CV to careers@econet.co.zw |
| Closing Date | 22 June 2026 |
Also Read: Paynow Brand & Marketing Lead Vacancy: Apply for the Paynow Brand & Marketing Lead Position in Harare
Qualifications and Candidate Profile
Applicants should hold a bachelor’s degree in a relevant discipline such as Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Information Technology, or Computer Engineering. Equivalent qualifications will also be considered.
Candidates should have between two and four years of professional experience and demonstrate proficiency in Python and related programming languages. Knowledge of machine learning algorithms, deep learning frameworks such as TensorFlow, statistical analysis, and modern software development practices will be advantageous.
The company is looking for professionals who can communicate technical concepts clearly, solve complex problems, and perform effectively in collaborative and fast-paced environments.
Benefits and How to Apply
Successful candidates will have the opportunity to work on AI-driven products, contribute to modern technology architecture, and participate in continuous learning and professional development initiatives within an agile working environment.
Interested applicants should email their curriculum vitae to careers@econet.co.zw before Monday, 22 June 2026.
Recruitment Notice: Econet follows a merit-based recruitment process and encourages applications from suitably qualified candidates, including persons with disabilities. Only shortlisted applicants are expected to be contacted. Applications received after the closing date or those that do not meet the stated requirements may not proceed to further consideration.
Disclaimer: Pulse Opportunities shares verified opportunities from trusted sources. We are not a recruiting agency and do not request any payment for applications.
Leave a Reply