Services • Pakistan
Job Title: Emerging Technology Services Engineer Experience: 6–11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking an experienced Emerging Technology Ser... Show more
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Reporting Divisions / Departments:.Procurement & Inventory Management, Customer Services, Information Technology, HSE &QA/QC, Legal & Estate Management, Corporate Communication, and Gov... Show more
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The Client Services Technician role requires a high level of technical proficiency and requires an individual with strong communication skills.Must quickly and effectively diagnose, and resolve iss... Show more
Company Overview   10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage.We help our customers digitaliz... Show more
Position Title: Growth Manager – US B2B Technology & Business Services.Monday to Friday | 6:00 PM – 3:00 AM PKT (US Business Hours).Hazen Technologies is a fast-growing technology and business ... Show more
Job Title: Emerging Technology Services Engineer Experience: 6–11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking an experienced Emerging Technology Services Engineer with 6–11 years of experience to drive innovation initiatives, evaluate emerging technologies, and develop proof-of-concepts (PoCs) that support business transformation.
The ideal candidate will have hands-on experience in AI/ML experimentation, cloud-native technologies, automation, orchestration, and innovation enablement, with the ability to translate new technologies into scalable business solutions.
Key Responsibilities Research, evaluate, and implement emerging technologies to address business and technical challenges.
Design, develop, and deliver AI/ML Proof of Concepts (PoCs) to validate new ideas and technologies.
Build cloud-native solutions that are scalable, resilient, and secure.
Design and implement automation and orchestration solutions to improve operational efficiency.
Collaborate with engineering, architecture, product, and business teams to identify innovation opportunities.
Assess technology trends and recommend adoption strategies aligned with organizational objectives.
Develop prototypes and pilot solutions to demonstrate business value.
Document solution architectures, technical findings, and best practices.
Mentor technical teams on emerging technologies and innovation frameworks.
Participate in architecture reviews and technology governance initiatives.
Required Technical Skills Artificial Intelligence & Machine Learning Hands-on experience with AI/ML PoC development .
Experience with machine learning model development, evaluation, and deployment.
Familiarity with Generative AI, Large Language Models (LLMs), and AI frameworks is preferred.
Cloud & Cloud-Native Technologies Strong experience with cloud-native exploration and solution development .
Hands-on experience with AWS or Microsoft Azure or Google Cloud Platform (GCP) .
Experience with microservices, containers, and Kubernetes is preferred.
Automation & Orchestration Strong experience in automation and orchestration using modern enterprise tools and scripting frameworks.
Experience building automated deployment, provisioning, and operational workflows.
Knowledge of Infrastructure as Code (IaC) is an advantage.
Innovation & Emerging Technologies Experience driving innovation enablement through technology assessments, rapid prototyping, and pilot implementations.
Ability to evaluate emerging technology trends and recommend enterprise adoption strategies.
Experience working with innovation labs, R&D initiatives, or digital transformation programs is preferred.
Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
Strong analytical, problem-solving, and solution design capabilities.
Excellent communication and stakeholder management skills.
Experience working in Agile/Scrum environments.
Preferred Skills Experience with DevOps and CI/CD pipelines.
Knowledge of API integrations and event-driven architectures.
Exposure to data engineering and analytics platforms.
Familiarity with cybersecurity best practices for cloud-native applications.
Cloud certifications and AI/ML certifications are a plus.
Key Technology Stack Artificial Intelligence: AI/ML PoC development and Generative AI or Large Language Models (LLMs) Cloud: AWS or Microsoft Azure or Google Cloud Platform (GCP) and cloud-native architectures Automation: Automation and orchestration and Infrastructure as Code (Preferred) Containers: Docker and Kubernetes DevOps: CI/CD pipelines and Git-based version control Innovation: Innovation enablement and rapid prototyping and technology evaluation and proof-of-concept development Powered by JazzHR
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