GCP AI Engineer

flint-international; Jeddah; On-site; SAR 350,000 - 550,000; Full time

Job summary

FLINT INTERNATIONAL MIDDLE EAST is seeking a Senior AI/ML Engineer with hands-on expertise to build custom AI models deployable on Prem and GCP, bridging Data Science research and enterprise IT production.

You will drive end-to-end ML pipelines, leverage Vertex AI, BigQuery, and Dataflow, and deploy real-time inferences via Vertex endpoints while securing PHI/PII and regulatory compliance in Saudi Arabia.

Qualifications

• Bachelor’s or Master’s degree in computer science, software engineering, AI, or related field.
• 3–5+ years of professional engineering experience deploying ML models into production.
• Deep, hands-on mastery of Google Cloud Platform (GCP) for ML workloads.
• Strong Python proficiency and ML libraries; backend API development experience.
• DevOps fundamentals and IaC experience; security and data governance awareness.
• GCP Certifications and healthcare/insurance domain familiarity are a plus.

Responsibilities

• End-to-End ML model development with MLOps pipelines and CI/CD on GCP and Prem.
• Architect the organization’s AI infrastructure using the full GCP data stack.
• Build robust data pipelines and feature stores using BigQuery and Dataflow.
• Train and version control models with Vertex AI tools and registries.
• Deploy low-latency real-time inferences via Vertex AI Endpoints and serverless runtimes.
• Orchestrate batch-scoring with Cloud Composer (Airflow).
• Bridge on-premises data with GCP services via secure interconnects and gateways.
• Implement data masking and PHI/PII protection before cloud inference.
• Wrap models in secure RESTful APIs (FastAPI/Flask) integrated with core systems.
• Monitor data drift and model performance with Vertex AI Model Monitoring.
• Ensure compliance with Saudi data sovereignty and health regs (SAMA, PDPL).
• Collaborate with data scientists, SMEs, and product managers to translate needs.

Skills

Python

GCP ML workloads

DevOps

Arabic NLP

CICD

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

FastAPI

Flask

Vertex AI

BigQuery

Dataflow

Apache Airflow

Cloud Run

GKE

Terraform

Job description

Notice Period: Immediate joiners OR not longer than 30 days’ Notice Period.

Job Description

We are seeking a highly skilled and motivated Senior AI/ML Engineer with deep, hands-on expertise in building custom AI models that can be deployed on Prem, and/or on Google Cloud Platform (GCP) to bridge the gap between Data Science research and Enterprise IT production.

In this role, you will be the architectural backbone of our AI practice. You will work across diverse AI fields—from traditional predictive analytics to cutting-edge Large Language Models (LLMs) and computer vision engines—deploying them into robust, highly available, and secure microservices on Prem and on GCP. Whether building a real-time REST API to intercept medical claims in milliseconds or orchestrating massive batch-scoring pipelines, your work will directly optimize operations.

Key Responsibilities

• End-to-End ML model development along MLOps pipelines: design, develop, and implement production-ready CI/CD pipelines on GCP, encompassing data ingestion, feature engineering, model training, evaluation, and scalable deployment.
• GCP AI Architecture: leverage and orchestrate the full GCP data stack to build the organization’s AI infrastructure.
• Data & Features: build robust data pipelines and feature stores using BigQuery and Dataflow / Apache Beam.
• Model Training & Registry: train and version control models using Vertex AI Workbench and the Vertex Model Registry.
• Deployment & Serving: deploy low-latency real-time inference using Vertex AI Endpoints and containerize lightweight deterministic rule engines using Cloud Run or Google Kubernetes Engine (GKE).
• Orchestration: schedule complex batch-scoring workflows using Cloud Composer (Apache Airflow).
• Hybrid Cloud AI Integration: design architectures that securely bridge on-premises data centers (Oracle/SQL) with GCP AI services using Cloud Interconnect, Apigee API gateways, or secure REST endpoints.
• Data Anonymization & Security: build on-premises data masking and tokenization pipelines (removing PHI/PII) before sending stateless inference requests to cloud-based LLMs.
• API & System Integration: wrap machine learning models in secure, high-performance RESTful APIs (e.g., FastAPI/Flask) to integrate with core claims processing engines and API gateways.
• Model Observability: implement Vertex AI Model Monitoring to track data drift, concept drift, and training-serving skew, ensuring models adapt to changing healthcare billing behaviors.
• Data Security & KSA Compliance: architect AI solutions that adhere to Saudi Arabian data sovereignty and healthcare regulations (SAMA, CHI, NDMO, PDPL). Implement Cloud DLP and VPC Service Controls to dynamically mask and secure PHI and National IDs.
• Cross-Functional Collaboration: partner with Data Scientists, investigators, medical SMEs, and product managers to translate clinical rules and business requirements into scalable technical solutions.

Qualifications

• Bachelor’s or Master’s degree in computer science, software engineering, artificial intelligence, or a related quantitative field.
• 3–5+ years of professional engineering experience with a track record of deploying ML models into production.
• Deep, hands-on mastery of Google Cloud Platform (GCP) for ML workloads.
• Strong proficiency in Python (OOP, modular design, unit testing) and libraries (TensorFlow, PyTorch, scikit-learn, Pandas).
• Experience with backend API development frameworks (FastAPI, Flask) for high-throughput model serving.
• Strong DevOps fundamentals: Docker, Git, CI/CD tooling (Cloud Build, GitHub Actions), and Infrastructure as Code (Terraform).
• Solid understanding of ML evaluation metrics (Precision, Recall, ROC-AUC) and model evaluation trade-offs.
• GCP Certifications: Professional Machine Learning Engineer or Professional Data Engineer.
• Healthcare/Insurance domain experience (medical billing codes such as ICD-10, CPT, DRG; NPHIES interoperability; claims adjudication; or FWA detection).
• Advanced AI experience with deploying LLMs, Agentic workflows (LangChain, Llama Index, CrewAI), or OCR systems in production.
• Localization: familiarity with Arabic NLP and processing localized text datasets.

Application

If you are interested in this opportunity, please send your resume to [e-mail] and ensure the position name is included in the subject line.

FLINT INTERNATIONAL MIDDLE EAST

Harnessing human insight to cut costs, fast-track tech adoption, and scale innovation globally.

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• Flint International IT Services UAE, Burlington Tower, Office #905, Business Bay, Dubai, United Arab Emirates