Ethnos Cyber Limited, As the preferred cybersecurity solutions provider in Africa, the success of Ethnos Cyber hinges, to a huge extent, on the dedication and quality of our employees. We have an array of varied, flexible, challenging, and rewarding career choices. We are committed to maintaining a stimulating workplace where all employees develop their talents and skills to help protect our customer’s data assets and align IT with business objectives. Our mission is simple: We listen, we design, we execute. If you are creative, energetic, and a team player and want to play a key role in positioning our brand at the forefront of the industry, we’d love to hear from you.
Job Description
- We are seeking a skilled and proactive AI/ML Automation Engineer to enhance our organization’s operational efficiency by designing, developing, and maintaining intelligent automation workflows.
- The ideal candidate will have hands-on experience with AI/ML model development, workflow automation platforms (such as n8n.io), and secure deployment practices.
- This role focuses on engineering robust AI-driven solutions, fine-tuning large language models (LLMs) for specialized use cases, and collaborating with cross-functional teams to drive innovation and automation across the organization.
Responsibilities:
- Design, develop, and deploy AI/ML models for automation workflows, leveraging n8n.io and platforms.
- Fine-tune large language modes (LLMs) for specific automation use cases
- Monitor and optimize the performance of AI-driven workflows.
- Maintain secure coding and deployment practices for AI systems.
Qualifications:
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 2–5 years of hands-on experience in AI/ML model development and deployment.
- Proven track record of implementing automation workflows in production environments.
- Experience with n8n.io or similar low-code/no-code automation platforms.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of API integration and workflow orchestration.
- Knowledge of LLM fine-tuning and prompt engineering.
- Familiarity with cybersecurity tools and automation in security contexts.
- Strong problem-solving, analytical thinking, and communication skills.
Method of Application
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