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Adree

<div><p>The Senior DevOps Engineer will support Adree&rsquo;s product development and platform automation initiatives by applying technical and analytical expertise to communicate the value of secure, scalable digital solutions. The role bridges infrastructure automation with seamless product delivery, ensuring enterprise-grade reliability, standardized deployment paths, and full auditability through CI/CD, GitOps, automated testing gates, and configuration management.</p><p>
</p>Key Roles and Responsibilities<ul><li>
Engage with clients and stakeholders to gather platform requirements and understand digital transformation and automation goals.</li><li>
Deliver presentations and documentation that demonstrate CI/CD capabilities, including:
</li><li><ul><li>Agent pool management</li><li>
Environment provisioning</li><li>
Enterprise pipeline design</li></ul></li><li>
Support product and engineering teams by creating reusable pipeline templates and secure shared libraries in <b>Azure DevOps Server</b>.</li><li>
Provide DevOps expertise across the product lifecycle to:
</li><li><ul><li>Enforce complex branching strategies</li><li>
Optimize build runner performance</li><li>
Maintain Linux-based runner systems</li></ul></li><li>
Collaborate with cross-functional teams (Security and QA) to:
</li><li><ul><li>Manage 3rd-party libraries</li><li>
Integrate <b>OpenText security tooling (Fortify SCA)</b></li><li>
Embed automated testing automation frameworks</li></ul></li><li>
Stay current with industry trends in containerization, automation workflows, and infrastructure delivery mechanisms to position solutions effectively.</li><li>
Conduct internal and client workshops to enable <b>GitOps delivery</b> and workload promotion using <b>Argo CD</b> to <b>OpenShift/Kubernetes</b> platforms.</li><li>
Participate in Agile development and release processes by integrating monitoring hooks and driving production deployment patterns, including:
</li><li><ul><li>AppDynamics / BMC / Azure Monitoring</li></ul></li></ul><br>
<b>
Requirements</b><br>
<br>
Education<ul><li>
Bachelor&rsquo;s degree in <b>Computer Science</b>, <b>Software Engineering</b>, <b>Information Technology</b>, or a related technical field.</li></ul><p>
</p>Experience<ul><li><b>
6&ndash;10+ years</b> of professional experience in:
</li><li><ul><li>DevOps</li><li>
Site Reliability Engineering (SRE)</li><li>
Build &amp; Release automation in enterprise environments
</li></ul></li><li>Proven, hands-on production delivery exposure (e.g., scaling live environments, not only sandbox/testing environments).</li><li>
Experience in <b>government</b>, heavily regulated, or complex enterprise sectors is highly preferred.</li></ul><p>
</p>Skills &amp; Competencies (Technical &amp; Analytical + Soft)<p>
</p><ul><li>Deep expertise in:
</li><li><ul><li>CI/CD pipeline engineering and secure pipeline patterns</li><li>
Agent pool configuration</li><li>
Advanced branching strategies</li></ul></li><li>
Strong hands-on containerization and orchestration experience:
</li><li><ul><li>Docker</li><li>
Kubernetes</li><li>
Red Hat OpenShift</li></ul></li><li>
Practical infrastructure automation skills:
</li><li><ul><li><b>Infrastructure-as-Code (Terraform)</b></li><li><b>
Configuration management (Ansible)</b></li><li>
Linux administration and systems scripting</li></ul></li><li>
Familiarity with enterprise artifact and dependency management:
</li><li><ul><li><b>JFrog Artifactory</b></li><li>
Binary artifact and 3rd-party library handling</li></ul></li><li>
Analytical capability to implement secure application pipelines, including:
</li><li><ul><li>Fortify SCA</li><li>
HashiCorp Vault secrets</li><li>
Sigstore / SecurEnvoy MFA verification setups</li></ul></li><li>
Strong soft skills:
</li><li><ul><li>Excellent communication</li><li>
Coaching mindset</li><li>
Cross-team collaboration (Developers, Security, QA)</li><li>
High ownership and accountability</li></ul></li></ul><p>
</p>Experience Summary (Must-Have Themes)<p>
</p><ul><li>Enterprise-grade CI/CD template design and multi-agent pool management</li><li>
Core infrastructure automation using IaC and configuration management</li><li>
GitOps continuous delivery execution into live production</li><li>
CI/CD + automation testing frameworks integrated with OpenText security validation</li><li>
Third-party library compliance management and secure artifact storage</li><li>
Production-level application profiling and monitoring hook setups</li><li>
Documentation authorship</li></ul><p>
</p>Additional Notes<ul><li>
Travel for client-facing activities</li></ul><p>
</p>Job Location<ul><li><b>
HQ</b></li></ul></div>

Devops Engineer, Senior

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><div><div><p><b>About Us
</b></p></div><div><p>Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high ‑ performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power ‑ efficient platforms that power the next generation of intelligent infrastructure.<br>
</p></div><p></p><div><p><b>About the Role
</b></p></div><div><p>Qualcomm is seeking a <b>Machine Learning Operations &amp; Customer Support Engineer </b>within the Customer Engineering team to support strategic customers deploying AI inference workloads on advanced Qualcomm AI inference accelerator s . These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
</p></div><p></p><div><p>This is a <b>customer-facing, production-critical role </b>focused on ensuring maximum system uptime, reliability, and performance, while resolving customer support cases within defined SLAs/KPIs. The role requires deep expertise across ML inference pipelines, systems troubleshooting , and data center operations, working closely with customers, internal engineering, and product teams.
</p></div><div><p>The i deal candidate will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/ MLOps automation, and cross functional collaboration.<br>
</p></div><p></p><div><p><b>What You&rsquo;ll Do
</b></p></div><div><p><b>Customer Support &amp; SLA Ownership
</b></p></div><div><ul><li>Act as the primary technical escalation point for customer issues related to AI inference workloads
</li></ul></div><div><ul><li>Own end-to-end case management, ensuring resolution within agreed SLAs and KPIs
</li></ul></div><div><ul><li><p>Drive incident response, triage, and root cause analysis (RCA) .
</p></li></ul></div><div><ul><li><p>Provide timely and transparent communication to customers on issue status and resolution
</p></li></ul></div><div><ul><li><p>Maintain high levels of customer satisfaction and service reliability
</p></li></ul></div><p></p><div><p><b>Uptime, Reliability &amp; Operations
</b></p></div><div><ul><li><p>Ensure high availability and uptime of customer AI deployments (rack-scale systems)
</p></li></ul></div><div><ul><li><p>Monitor system health, performance metrics, and workload behavior
</p></li></ul></div></div><div><div><ul><li><p>Implement and manage failover, redundancy, and resiliency mechanisms
</p></li></ul></div><div><ul><li><p>Proactively identify risks and implement preventative actions
</p></li></ul></div><p></p><div><p><b>AI Inference Workload Support
</b></p></div><div><ul><li><p>Support deployment, optimization, and troubleshooting of ML inference pipelines
</p></li></ul></div><div><ul><li><p>Debug issues across model, runtime, system, and hardware layers
</p></li></ul></div><div><ul><li><p>Analyze model performance (latency, throughput, accuracy tradeoffs) in production
</p></li></ul></div><div><ul><li><p>Support frameworks such as PyTorch , TensorFlow, ONNX, and model conversion flows
</p></li></ul></div><div><ul><li><p>Assist in model optimization techniques (quantization, batching, compilation, runtime tuning)
</p></li></ul></div><p></p><div><p><b>System &amp; Infrastructure Engineering
</b></p></div><div><ul><li><p>Support bare-metal and virtualized environments for AI workloads
</p></li></ul></div><div><ul><li><p>Troubleshoot issues across Linux OS, drivers, firmware, and networking stack
</p></li></ul></div><div><ul><li><p>Support deployment and maintenance using Infrastructure as Code ( IaC ) and automation tools
</p></li></ul></div><div><ul><li><p>Work with DCIM tools and monitoring systems for infrastructure visibility
</p></li></ul></div><div><ul><li><p>Coordinate with hardware vendors for accelerator, server, and networking issues
</p></li></ul></div><p></p><div><p><b>Monitoring, Observability &amp; Automation
</b></p></div><div><ul><li><p>Implement and manage monitoring systems (logs, metrics, traces)
</p></li></ul></div><div><ul><li><p>Build dashboards for uptime, SLA adherence, performance, and utilization
</p></li></ul></div><div><ul><li><p>Automate repetitive operational tasks using scripts and workflows
</p></li></ul></div><div><ul><li><p>Establish and enforce runbooks and standard operating procedures (SOPs)
</p></li></ul></div><p></p><div><p><b>Cross-Functional Collaboration
</b></p></div></div><div><div><ul><li><p>Work closely with Customer Engineering, Product, Engineering, and Support teams
</p></li></ul></div><div><ul><li><p>Provide structured feedback to engineering for product improvements and defect resolution
</p></li></ul></div><div><ul><li><p>Support customer onboarding, deployment readiness, and operational handover
</p></li></ul></div><div><ul><li><p>Participate in customer reviews, escalations, and technical deep dives<br>
</p></li></ul></div><p></p><div><p><b>Required Qualifications
</b></p></div><div><ul><li><p>Bachelor&rsquo;s degree in Computer Science , Computer Engineering, Electrical Engineering, or related field
</p></li></ul></div><div><ul><li><p>10&ndash;15+ years of experience in ML operations, systems engineering, or customer support engineering
</p></li></ul></div><div><ul><li><p>Proven experience in customer-facing technical roles with SLA-driven support models
</p></li></ul></div><div><ul><li><p>Strong experience with AI/ML inference workloads in production environments
</p></li></ul></div><div><ul><li><p>Deep understanding of end-to-end ML inference pipelines
</p></li></ul></div><div><ul><li><p>Hands-on experience with Linux systems, system bring-up, drivers, and debugging tools
</p></li></ul></div><div><ul><li><p>Strong understanding of AI accelerator architecture and system bottlenecks
</p></li></ul></div><div><ul><li><p>Experience with model deployment, optimization, and performance tuning
</p></li></ul></div><div><ul><li><p>Experience with data center operations and rack-scale deployments
</p></li></ul></div><div><ul><li><p>Familiarity with bare-metal, virtualization, and containerization technologies (Docker, Kubernetes)
</p></li></ul></div><div><ul><li><p>Knowledge of networking concepts (TCP/IP, RDMA, storage systems)
</p></li></ul></div><div><ul><li><p>Experience with cloud and hybrid environments
</p></li></ul></div><div><ul><li><p>Experience with monitoring/observability tools (Prometheus, Grafana, ELK, etc.)
</p></li></ul></div><div><ul><li><p>Strong skills in incident management, RCA, and production operations
</p></li></ul></div></div><div><div><ul><li><p>Experience defining and tracking SLAs, KPIs, and operational metrics
</p></li></ul></div><div><ul><li><p>Proficiency in Python, Bash, or similar scripting languages
</p></li></ul></div><div><ul><li><p>Experience in automation, DevOps, and MLOps tooling
</p></li></ul></div><div><ul><li><p>Strong problem-solving and diagnostic skills
</p></li></ul></div><div><ul><li><p>Excellent communication and customer engagement skills
</p></li></ul></div><div><ul><li><p>Ability to operate in high-pressure, mission-critical environments
</p></li></ul></div><div><ul><li><p>High attention to detail with a focus on quality, reliability, and accountability
</p></li></ul></div><p></p><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Experience with Qualcomm Cloud AI or similar AI accelerator platforms
</p></li></ul></div><div><ul><li><p>Experience supporting large-scale AI deployments (LLMs, CV pipelines, generative AI)
</p></li></ul></div><div><ul><li><p>Familiarity with inference runtimes ( TensorRT , ONNX Runtime, custom runtimes)
</p></li></ul></div><div><ul><li><p>Experience with CI/CD pipelines for ML deployment<br>
</p></li></ul></div><p></p><div><p><b>Why Join Qualcomm
</b></p></div><div><p>At Qualcomm, you&rsquo;ll work at the intersection of <b>AI silicon, system architecture, and real </b>‑ <b>world deployment </b>. You will engage directly with strategic customers, influence next ‑ generation AI data center platforms, and help define scalable, power ‑ efficient infrastructure for the AI era. This role provides a unique opportunity to shape both <b>technology direction and customer outcomes </b>, while working with world ‑ class engineering and product teams.
</p><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul></div></div><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
</p><p></p><div><p>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</p></div><p></p><p>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

ML Operations & Customer Support Engineer, Staff/Senior Staff level - Riyadh, KSA

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Manage and coordinate all technical, operational, and maintenance activities within the rail depot to ensure availability and reliability of rolling stock and depot infrastructure.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Manage all technical and operational activities within the rail depot including stabling, maintenance facilities, wash plants, fuelling systems, and depot infrastructure.</li><li>
Develop, implement, and monitor preventive and corrective maintenance schedules for rolling stock, depot equipment, and building services.</li><li>
Coordinate planned and unplanned maintenance activities to ensure maximum rolling stock availability in alignment with operational requirements.</li><li>
Manage and oversee depot contractor and subcontractor activities, ensuring compliance with HSE requirements, quality standards, and contractual obligations.</li><li>
Liaise with rolling stock, operations, facilities management, and systems engineering teams to ensure depot operational readiness.</li><li>
Monitor depot Key Performance Indicators (KPIs) including fleet availability, Mean Time Between Failures (MTBF), and maintenance turnaround times.</li><li>
Conduct depot safety inspections, audits, and risk assessments; implement corrective actions to address identified hazards.</li><li>
Oversee testing and commissioning activities for new rolling stock deliveries and depot equipment installations.</li><li>
Manage interface coordination between depot civil works and rail systems (signalling, traction power, telecoms).</li><li>
Prepare and manage the depot maintenance budget, tracking expenditure and identifying cost optimisation opportunities.</li><li>
Develop and maintain depot operational procedures, maintenance instructions, and safety management documentation.</li></ul><p>
Key Competencies
</p><ul><li>Strong knowledge of rolling stock maintenance practices and depot operations.</li><li>
Experience with computerised maintenance management systems (CMMS).</li><li>
Understanding of HSE regulations and safe systems of work in depot environments.</li><li>
Familiarity with RAMS principles and their application to maintenance planning.</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
B.S. or M.S. in Engineering preferred (Electrical Engineering preferred).</li><li>
15+ years' experience in engineering (10+ years' experience in rail and transit engineering in Middle East).</li><li>
Registration as a licensed Professional Engineer (P.E.) is generally required. However, extensive experience may be substituted in lieu of licensing.</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Depots Engineer

Talent 360

<div><p><b>About Us</b></p><p><br>
We are building the next-generation Office of the CFO that simplifies finance for all businesses.</p><p><br>
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.</p><p><br>
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.</p><p><b><br>
About the Role</b></p><p><br>
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.</p><p><br>
You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.</p><p><br>
This is a high-ownership role focused on building financial data infrastructure from first principles.</p><p><br>
This role is based in Saudi Arabia (Relocation).</p><p><b><br>
What You Will Own</b></p><p><b><br>
Data Modeling and Standards</b></p><br>
<ul><li>
Define and maintain scalable data models in SQL<br>
</li><li>
Establish structured warehouse layers and modeling best practices<br>
</li><li>
Own KPI definitions and ensure a single source of truth<br>
</li><li>
Ensure financial correctness and metric consistency</li></ul><p><b><br>
Warehouse Architecture</b></p><br>
<ul><li>
Design and evolve our cloud data warehouse in BigQuery<br>
</li><li>
Own transformation workflows using dbt, SQLMesh, or similar tools<br>
</li><li>
Optimize performance, reliability, and cost<br>
</li><li>
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.</li></ul><p><b><br>
Reliability and Governance</b></p><br>
<ul><li>
Ensure data quality, integrity, and observability<br>
</li><li>
Implement access controls aligned with compliance requirements<br>
</li><li>
Build a scalable foundation ready for advanced analytics and AI</li></ul><p><b><br>
Cross-Functional Impact</b></p><br>
<ul><li>
Translate business requirements into robust data systems<br>
</li><li>
Enable trusted reporting and BI across teams<br>
</li><li>
Support experimentation and AI-driven initiatives with well-structured datasets</li></ul><br>
<b>
Requirements</b><p><b><br>
What We Are Looking For</b></p><br>
<ul><li>
5+ years of experience in Data Engineering or Analytics Engineering<br>
</li><li>
Strong SQL expertise with hands-on data modeling experience<br>
</li><li>
Experience with cloud data warehouses such as BigQuery<br>
</li><li>
Experience with modern transformation frameworks such as dbt or SQLMesh<br>
</li><li>
Experience building or supporting production-grade AI/ML pipelines is a strong plus<br>
</li><li>
Ability to operate independently in a fast-moving startup<br>
</li><li>
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</li></ul></div>

Senior AI Data Engineer

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
The RAMS (Reliability, Availability, Maintainability, and Safety) Manager is responsible for ensuring the integrity, performance, and safety of the metro system throughout its Operations &amp; Maintenance (O&amp;M) phase. This role requires strong technical expertise in railway systems, a solid engineering background, and in-depth knowledge of international standards such as EN 50126. The RAMS Manager will lead the planning, implementation, and monitoring of RAMS processes, ensuring optimal system performance, risk mitigation, and compliance with safety and regulatory requirements. The position plays a key role in supporting operational efficiency and long-term asset reliability within the metro network.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Manage and oversee all RAMS processes to ensure system integrity, reliability, and safety compliance</li><li>
Develop, implement, and monitor RAMS strategies aligned with project objectives and international standards (e.g., EN 50126)</li><li>
Conduct detailed RAMS analysis to identify risks and improve system performance</li><li>
Support decision-making through data-driven RAMS assessments and evaluations</li><li>
Collaborate with engineering, operations, and safety teams to integrate RAMS principles into daily operations</li><li>
Ensure compliance with international standards, industry best practices, and regulatory requirements</li><li>
Monitor system performance in terms of reliability, availability, maintainability, and safety metrics</li><li>
Identify potential system failures and implement preventive and corrective measures</li><li>
Review and validate RAMS documentation, reports, and analyses throughout the O&amp;M lifecycle</li><li>
Support audits, inspections, and certification processes related to RAMS</li><li>
Provide technical guidance on RAMS to internal teams and external stakeholders</li><li>
Maintain proper documentation and reporting of RAMS activities and compliance status</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Bachelor's degree in Engineering (Electrical, Mechanical, Systems, or related field)</li><li>
Minimum 10&ndash;15 years of experience in RAMS, railway systems, or infrastructure projects</li><li>
Strong knowledge of RAMS principles and lifecycle management</li><li>
Proven experience with international standards such as EN 50126 (and related standards like EN 50128 / 50129 is a plus)</li><li>
Experience in metro, rail, or transportation infrastructure projects</li><li>
Strong analytical and problem-solving skills</li><li>
Knowledge of risk assessment and system safety methodologies</li><li>
Ability to interpret technical data and generate actionable insights</li><li>
Excellent communication and stakeholder management skills</li><li>
Experience in documentation, reporting, and compliance processes</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

RAMS Manager - Metro /Rail

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
The Power Systems Expert is responsible for overseeing the maintenance, performance, and reliability of all metro power systems during the Operations &amp; Maintenance (O&amp;M) phase. This includes high, medium, and traction power systems such as substations, cables, transformers, and protection equipment. The role ensures that all maintenance activities are carried out safely, efficiently, and in line with contractual obligations and Employer expectations. The Power Systems Expert also plays a key role in monitoring O&amp;M Contractor performance, reviewing technical submissions, coordinating with Design &amp; Build (DB) Contractors, and advising on long-term asset management strategies.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Oversee maintenance activities of all power systems including high, medium, and traction substations</li><li>
Ensure safe and efficient operation of transformers, cables, and protection systems</li><li>
Verify that all O&amp;M'activities meet safety standards and Employer expectations</li><li>
Monitor and evaluate O&amp;M Contractors' performance and service delivery</li><li>
Assess contractor performance and implement adjustments where required</li><li>
Oversee mobilization of O&amp;M Contractors and sub-contractors</li><li>
Review contractor submissions including asset management plans, maintenance plans, procedures, and instructions</li><li>
Ensure compliance of contractor deliverables with contractual requirements</li><li>
Coordinate effectively between O&amp;M Contractors and Design &amp; Build (DB) Contractors</li><li>
Support integration and alignment of power systems with overall metro operations</li><li>
Provide technical expertise and guidance on power systems engineering</li><li>
Advise on asset management strategies, lifecycle planning, and system optimization</li><li>
Conduct inspections, audits, and performance reviews of power systems</li><li>
Ensure proper documentation, reporting, and compliance with regulatory standards</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Bachelor's degree in Electrical Engineering or related field</li><li>
Minimum 5 years of technical and managerial experience in power systems</li><li>
Strong knowledge of electrical power systems including substations, transformers, and protection systems</li><li>
Experience in maintenance and operation of railway or metro power infrastructure</li><li>
Ability to review technical documentation and maintenance strategies</li><li>
Experience in contractor performance management and evaluation</li><li>
Good understanding of safety standards and electrical regulations</li><li>
Strong analytical and problem-solving skills</li><li>
Excellent coordination and stakeholder management abilities</li><li>
Good communication and reporting skills</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Power Systems Expert (Rail/Metro)

Datamatics Global Services Ltd

<div><b>Position Title : AI/ML Engineer &ndash; Agentic AI</b><br>
<b>Experience Required: </b>4&ndash;6 Years (Should be open to Travel)<br>
<b>Employment Type : </b>Full-Time - Riyadh - Onsite<br>
<br>
<b>Job Overview</b><br>
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.<br>
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize <b>Agentic AI systems</b> using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul><b>
Required Skills &amp; Expertise</b><ul><li>
Strong hands-on experience in <b>Machine Learning, Generative AI, and Agentic AI development</b>.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul><b>
Preferred Qualifications</b><ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul><br>
<p>
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AI/ML Engineer – Agentic AI

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