AI & Data Specialist (Oracle Cloud Infrastructure) | TRIDY HR Services | Qatar

TRIDY HR Services (on behalf of a client); Qatar; On-site; QAR 180,000 - 300,000; Full time

Job summary

TRIDY HR Services is seeking an experienced AI & Data Specialist to lead design, deployment, and optimization of enterprise-scale data and AI solutions within a cloud-first environment in Qatar. Ideal candidates will have strong expertise in data architecture, data engineering, AI/ML deployment, and OCI technologies to transform data into business value.

As part of a cross-functional team, you will design scalable data platforms, build robust pipelines, and deploy AI models in production.

Qualifications

• Bachelor's degree in a related field.
• Experience in data architecture and data engineering.
• Hands-on experience deploying AI/ML solutions.
• Proven experience with cloud-native data and AI platforms.
• Strong knowledge of analytics, data warehousing, and large-scale data processing.
• Experience operating in enterprise-scale cloud environments.

Responsibilities

• Design enterprise-scale data architectures and cloud-based data platforms.
• Develop and optimize scalable data pipelines and integration frameworks.
• Deploy and monitor AI and machine learning models in production.
• Utilize cloud-native services to support advanced analytics, AI, and BI initiatives.
• Ensure scalability, security, reliability, and high performance of data platforms.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into technical solutions.
• Implement data governance, quality, and compliance across data ecosystems.
• Document architectures and implementation standards.
• Stay current with emerging AI, cloud computing, and data engineering technologies.

Skills

Data Architecture

Data Engineering

AI/ML Deployment

Cloud-native Architectures

Stakeholder Management

Analytics & BI

Education

Bachelor's Degree in Computer Science / IT

Tools

Oracle Cloud Infrastructure (OCI)

OCI Data Science

Oracle AI Services

ETL/ELT Tools

Job description

Job Title: AI & Data Specialist (Oracle Cloud Infrastructure) | TRIDY HR Services | Qatar

Recruiting Company: TRIDY HR Services (on behalf of a client)

Job Location: Qatar

Job Type: Full-Time / Contract

Contact Information

• Contact Number: [phone]
• Industry: Artificial Intelligence, Data Engineering & Cloud Technologies
• Preferred Technology Stack: Oracle Cloud Infrastructure (OCI)
• Employment Type: Full-Time or Contract
• Domain: AI, Data Engineering, Cloud Computing & Enterprise Analytics

Position Summary

We are seeking an experienced AI & Data Specialist to lead the design, implementation, and optimization of enterprise-scale data and artificial intelligence solutions within a cloud-first environment. This role is ideal for professionals with strong expertise in data architecture, data engineering, AI/ML deployment, and Oracle Cloud technologies who are passionate about transforming data into business value.

Detailed Job Description

As an AI & Data Specialist, you will play a critical role in building scalable, secure, and intelligent data platforms that support advanced analytics and AI-driven decision-making. You will be responsible for designing modern data architectures, developing robust data pipelines, and deploying machine learning solutions in cloud environments. Working closely with business stakeholders, architects, data scientists, and engineering teams, you will ensure the successful delivery of enterprise-grade data solutions that meet performance, scalability, and governance requirements. The ideal candidate will have hands-on experience with Oracle Cloud Infrastructure (OCI), Oracle AI Services, or equivalent cloud AI ecosystems, coupled with a strong understanding of data engineering and cloud-native architectures.

Key Responsibilities

• Design and implement enterprise-scale data architectures and cloud-based data platforms.
• Develop, optimize, and maintain scalable data pipelines and data integration frameworks.
• Deploy, manage, and monitor AI and machine learning models within production environments.
• Utilize cloud-native services to support advanced analytics, AI, and business intelligence initiatives.
• Design data solutions that ensure scalability, security, reliability, and high performance.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
• Implement data governance, quality, and compliance frameworks across data ecosystems.
• Integrate AI services, analytics platforms, and business applications through APIs and cloud services.
• Support advanced analytics, reporting, and predictive modeling initiatives.
• Monitor platform performance and recommend continuous improvements to data and AI infrastructure.
• Create technical documentation, architecture diagrams, and implementation standards.
• Stay current with emerging AI, cloud computing, and data engineering technologies.

Required Qualifications & Skills

• Bachelor's Degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• Strong experience in Data Architecture and Data Engineering.
• Hands-on experience deploying and managing AI and Machine Learning solutions.
• Proven experience with cloud-native data and AI platforms.
• Strong understanding of data pipelines, ETL/ELT frameworks, and large-scale data processing.
• Experience designing scalable enterprise data solutions and modern data architectures.
• Strong knowledge of analytics platforms, data warehousing, and cloud data ecosystems.
• Experience working within enterprise-scale cloud environments.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and stakeholder-management capabilities.
• Ability to work effectively in cross-functional and multicultural environments.

Nice-to-Have Skills

• Strong Oracle Cloud Infrastructure (OCI) experience.
• Hands-on experience with OCI Data Science services.
• Experience with Oracle AI Services and Oracle's Data & AI ecosystem.
• Knowledge of cloud-based machine learning operations (MLOps).
• Experience with data lakes, data warehouses, and real-time analytics platforms.
• Multi-cloud experience across AWS, Microsoft Azure, or Google Cloud Platform.
• Relevant cloud, AI, or data engineering certifications.

Recruitment Pro Tip

For AI and Data Specialist roles, employers are particularly interested in real-world implementations rather than theoretical knowledge. Highlight specific projects where you designed data architectures, built data pipelines, deployed AI/ML models, optimised cloud platforms, or delivered measurable business outcomes such as reduced processing times, increased data quality, improved forecasting accuracy, or enhanced operational efficiency. Quantifiable achievements can significantly strengthen your application.