AI & Data Engineer at Innovative Solutions

Riyadh, Riyadh, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Development, Threat Detection, Fraud Detection, Data Pipelines, Explainable AI, Collaboration, Model Performance, Python, TensorFlow, PyTorch, Scikit-learn, NLP, Anomaly Detection, Reinforcement Learning, Cloud Platforms, Problem-solving

Industry

IT Services and IT Consulting

Description

About Innovative Solutions Innovative Solutions (IS) is a leading cybersecurity company in the GCC since 2003, now expanding into the broader digital world of opportunities. As we transcend beyond cybersecurity’s legacy of risk, fear, and loss, we are re-imagining our role as a digital partner focused on opportunity, optimism, and gain. We are seeking a highly skilled AI & Data Engineer to pioneer the design and development of an exciting and futuristic Agentic AI solution. Key Responsibilities · Design, develop, and deploy AI/ML models to support Threat Detection, Fraud Detection, and Event Classification. · Build, train, and fine-tune Agentic AI models that can autonomously handle triage and analysis workflows. · Develop scalable data pipelines for ingesting, preprocessing, and enriching structured and unstructured security data. · Implement explainable AI techniques for transparent detection and decision-making. · Collaborate with experts, and data scientists to enhance detection accuracy. · Continuously improve model performance through feedback loops, data augmentation, and retraining. Preferred Experience · Prior development of AI models for Threat Detection or Fraud Detection. · Experience with cybersecurity data sources (network logs, endpoint telemetry, identity logs, threat intel). · Exposure to agentic AI concepts (autonomous task handling, decision chaining, tool use). What We Offer · Opportunity to pioneer AI-driven Cybersecurity solutions & automation in the GCC region. · Work on cutting-edge Agentic AI technology shaping the future of cybersecurity. · Collaborative, future-oriented, and innovation-driven culture. · Attractive salary and benefits package. Qualifications & Requirements · Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. · 2–3 years of experience in AI/ML development, ideally in cybersecurity, fraud detection, or anomaly detection. · Proven track record in AI model development for classification, detection, or predictive analytics. · Strong programming skills in Python, TensorFlow, PyTorch, Scikit-learn, or equivalent frameworks. · Experience with NLP, anomaly detection, reinforcement learning, or multi-agent systems is a plus. · Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI deployment. · Excellent problem-solving, analytical, and communication skills.

Responsibilities

The AI & Data Engineer will design, develop, and deploy AI/ML models for Threat Detection and Fraud Detection. They will also build and fine-tune Agentic AI models for autonomous workflows and develop scalable data pipelines for security data.