AI Engineer (GCP)📣 إعلان

About the AI Engineer (GCP) Role

TMC Middle East is seeking an AI Engineer with expertise in Google Cloud Platform (GCP) for a full-time position in Saudi Arabia, specifically in Jeddah and Makkah. This role focuses on developing and deploying practical machine learning solutions to address real-world business challenges, moving beyond prototypes to create functional, scalable systems.

Day-to-Day Responsibilities

The day-to-day activities for this role involve:

• Interpreting vague business problems presented by stakeholders and defining the appropriate machine learning formulation, success metrics, and production pathway.
• Utilizing Vertex AI and BigQuery for feature engineering, and employing Python with a chosen framework for model development.
• Managing the end-to-end deployment, monitoring, and iterative improvement of ML solutions on GCP, without reliance on a separate deployment team.

Required Qualifications and Experience

Candidates should possess the following qualifications:

• Demonstrated experience writing production code on GCP within the last 12-18 months, distinct from Proof of Concepts or lab work.
• Ability to articulate the selection of a specific ML algorithm used in the past year, including the project context and the rationale for choosing that algorithm over others.
• A practical example of a production issue encountered, how it was diagnosed, and the implemented solution to prevent recurrence.
• Capacity to describe a past GCP ML architecture from memory, indicating direct involvement in its creation.
• A minimum of 5 years of experience in AI/ML engineering.
• At least 3 years of hands-on experience with GCP.

Preferred Qualifications

A GCP Professional ML Engineer certification is considered a strong advantage for applicants.

What is Not Sought

The hiring team is not looking for:

• CVs that list numerous tools without corresponding project experience.
• Claims of Vertex AI experience without demonstrable project outcomes.
• Candidates whose most recent practical GCP work was prior to 2022.