AI Engineer
Summary
Design and deploy AI models and automation pipelines end-to-end, from data ingestion to production monitoring, while aligning solutions with business needs.
Collaborate with business units to incorporate domain-specific knowledge into AI projects and ensure solutions address real operational needs.
Design, prototype, and implement end-to-end AI and automation solutions, from data ingestion and model development to deployment and monitoring.
Lead proof-of-concept initiatives to validate technical feasibility and demonstrate business impact.
Define technical requirements, data flows, and integration specifications for seamless system interoperability.
Monitor advances in AI and automation, evaluate new tools and platforms, and recommend technologies for adoption.
Requirements:- Bachelor’s degree in Computer Science, Data Science, or related disciplines.
- Strong programming skills and proficiency in Python, claude code, codex are essential (ability to write clean, efficient, and scalable code).
- Demonstrated experience building AI applications.
- Proven track record of developing solutions that leverage machine learning or other AI techniques.
- Hands‑on experience with major AI platforms and APIs for model access, integration, and deployment.
- Strong problem‑solving skills, attention to detail, and the ability to communicate technical concepts to stakeholders.
- A competitive package will be offered to the right candidate.
Only shortlisted candidates will be notified. All personal data collected will be used for recruitment purposes only and will be treated strictly confidential.
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