software engineer

electrical engineer

hse engineer

civil engineer

structural engineer

ml engineer

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
 <li>
 Deploying deep learning and generative models into production for public and private sector projects
 </li>
 <li>
 Optimizing ML training and inference for performance, latency, and scalability
 </li>
 <li>
 Monitoring, retraining, and improving deployed ML models
 </li>
 <li>
 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
 <li>
 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
 <li>
 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
 </li>
 <li>
 Develop backend services and APIs to expose AI capabilities securely and reliably
 </li>
 <li>
 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
 </li>
 <li>
 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
 <li>
 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
 </li>
 <li>
 Strong track record of projects across public and private sectors
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines
 </li>
 <li>
 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
 </li>
 <li>
 Experience building data ingestion, transformation, and processing pipelines
 </li>
 <li>
 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
 </li>
 <li>
 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
 </li>
 <li>
 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
 </li>
 <li>
 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
 </li>
 <li>
 Ability to independently build functional AI applications from prototype through production
 </li>
 <li>
 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
As a Qualcomm Datacenter AI Systems Engineer focused on AI Inference Platforms and Competitive Analysis, you will evaluate, benchmark, optimize, and validate end-to-end AI inference solutions built on Qualcomm AI accelerators. You will analyze real-world customer deployments, assess competitive platforms, and develop fact-based insights on performance, scalability, ecosystem readiness, and operational simplicity across modern GenAI workloads including LLMs, VLMs, RAG, and agentic applications.
About the role
In this role, you will work across hardware, software, frameworks, and deployment architectures to identify differentiators, gaps, and opportunities that shape Qualcomm's AI platform roadmap and customer engagement strategy. You will collaborate closely with architecture, product, systems, customer engineering, business development, and ecosystem teams to establish Qualcomm AI accelerators as a leading platform for enterprise AI inference deployments.
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in engineering, computer science, or Data Science with 8+ years of experience
</li><li>Master's degree in Engineering, Computer Science, Data Science or related field and 4+ year of related work experience.
</li></ul>OR
<ul><li>PhD in Engineering, Computer Science, or related field and 4+ years of Experience.
</li></ul>Required Skills:
<ul><li>Strong proficiency in Python and common AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
</li><li>Solid understanding of ML model development, deployment, and AI inference concepts for datacenter workloads.
</li><li>Strong foundation in system performance profiling, benchmarking, parallel computing, and workload analysis.
</li><li>Working knowledge of Linux-based development, containerized deployment, and cloud-native infrastructure concepts.
</li><li>Strong analytical, communication, and cross-functional collaboration skills with the ability to summarize technical findings clearly.
</li></ul>Preferred Qualifications:
<ul><li>Master's or PhD degree in Engineering, Computer Science, Information Systems, Electrical Engineering, Physics, or a related technical field with 4+ years of experience.
</li><li>Strong understanding of GenAI and enterprise inference workloads, including LLMs, VLMs/LVMs, embeddings, diffusion models, RAG pipelines, agents, and multi-turn application patterns.
</li><li>Hands-on experience evaluating AI accelerator platforms and deployment ecosystems, including Qualcomm AI inference accelerators and competitive platforms such as NVIDIA and AMD.
</li><li>Experience with production inference frameworks and serving stacks such as vLLM, Triton Inference Server, TensorRT-LLM, SGLang, KServe, Ray Serve, TorchServe, or equivalent model-serving technologies.
</li><li>Deep understanding of inference performance fundamentals, including prefill/decode behavior, KV-cache utilization, batching, scheduling, quantization, memory bandwidth, latency, throughput, TTFT, TPOT, and scaling efficiency.
</li><li>Experience designing and executing fact-based competitive benchmarks across single-node and multi-node deployments using representative customer workloads, model configurations, and deployment patterns.
</li><li>Knowledge of distributed inference architectures, including tensor parallelism, pipeline parallelism, expert parallelism/MoE serving, disaggregated serving, routing, autoscaling, and cluster-level orchestration.
</li><li>Experience with containerized and cloud-native deployment workflows using Docker, Kubernetes, Helm, GitOps, CI/CD, observability stacks, and infrastructure automation.
</li><li>Ability to assess ecosystem readiness, operational simplicity, tooling maturity, model onboarding complexity, reference architectures, observability, supportability, and deployment documentation quality.
</li><li>Background in compiler/runtime optimization, graph lowering, operator fusion, kernel optimization, or hardware-aware model optimization for ML workloads is a plus.
</li><li>Experience conducting technical competitive analysis across AI hardware platforms, frameworks, software ecosystems, deployment architectures, and customer workflows.
</li><li>Experience building customer-facing technical collateral, competitive positioning, deployment guides, benchmark reports, executive briefings, and gap analysis for AI infrastructure products.
</li><li>Strong cross-functional collaboration skills with demonstrated ability to work across product, architecture, engineering, customer engineering, business development, and ecosystem partner teams in a matrixed organization.
</li></ul>Principal Duties and Responsibilities will include:
<ul><li>End-to-end competitive analysis for Qualcomm AI inference accelerators across hardware, software, model-serving frameworks, deployment workflows, and customer-facing GenAI inference solutions.
</li><li>Evaluate real customer deployment patterns, including LLM/VLM serving, RAG, agentic workflows, embedding services, multi-model applications, and enterprise inference pipelines, to identify where Qualcomm leads, is at parity, or has gaps.
</li><li>Develop objective benchmark methodologies and execute performance studies covering latency, TTFT, TPOT, throughput, tokens/sec/user, concurrency, utilization, power efficiency, cost efficiency, and single-node and multi-node scaling.
</li><li>Compare Qualcomm solutions against competitive platforms such as NVIDIA and AMD across deployment maturity, model coverage, framework support, ecosystem readiness, operational simplicity, and total solution capability.
</li><li>Analyze inference architecture tradeoffs involving vLLM, Triton Inference Server, KServe, Ray Serve, Kubernetes, orchestration layers, KV-cache management, batching strategies, quantization, and distributed serving patterns.
</li><li>Drive model onboarding prioritization by studying competitive usage, customer demand, model popularity, framework adoption, and readiness gaps across open-source and enterprise GenAI workloads.
</li><li>Build and maintain reference architectures, deployment playbooks, sizing guidance, reproducible benchmark recipes, and customer-ready solution blueprints for Qualcomm AI inference platforms.
</li><li>Partner with architecture, compiler, runtime, framework, systems, and product teams to translate competitive findings into product requirements, roadmap priorities, optimization opportunities, and ecosystem investments.
</li><li>Perform system-level debugging and root-cause analysis across model, framework, runtime, driver, hardware, networking, memory, and orchestration layers to explain performance or deployment gaps.
</li><li>Create clear, fact-based competitive positioning, leadership readouts, technical reports, and customer-facing collateral that communicate differentiators, risks, gaps, and recommended actions.
</li><li>Collaborate with customer engineering, business development, sales, and partner teams to support customer evaluations, proof-of-concepts, competitive bakeoffs, and deployment activities.
</li><li>Stay current with the evolving AI inference ecosystem, including emerging models, serving frameworks, accelerator platforms, open-source projects, benchmarking practices, and enterprise deployment trends.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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.
<div>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).
</div>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.
To all Staffing and Recruiting Agencies : 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.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center AI Systems Engineer (Competitive Analysis) - Riyadh, KSA

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; System Engineer</h1>
Position: System Engineer 
Project Duration: 3 Months 
Location: Onsite 
Language: Arabic (Mandatory) 
Experience: 5+ Years 
Education: Bachelor's Degree in Information Technology or equivalent.<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking experienced System Engineers to design, implement, configure, and maintain enterprise systems supporting the Committees Management System.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design system architecture.</li><li>
Configure servers and infrastructure.</li><li>
Install and maintain applications.</li><li>
Monitor system performance.</li><li>
Troubleshoot technical issues.</li><li>
Ensure system security and availability.</li><li>
Support deployment activities.</li><li>
Prepare technical documentation.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Windows/Linux Administration</li><li>
Virtualization</li><li>
Networking</li><li>
System Monitoring</li><li>
Backup &amp; Recovery</li><li>
Security Best Practices</li><li>
Cloud Platforms</li><li>
Troubleshooting</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in IT or equivalent.</li><li>
Minimum 5 years of System Engineering experience.</li><li>
Arabic language proficiency is mandatory.</li><li>
Onsite availability.</li></ul>
kvIrq9rFht</div>

System Engineer

Saudi Pan Kingdom Company - SAPAC

<div>
 
 
 Technical Office Engineer &ndash; Landscaping
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a qualified Technical Office Engineer &ndash; Landscaping with a Bachelor&rsquo;s Degree in Civil Engineering to support landscaping and infrastructure projects. The candidate will be responsible for preparing shop drawings, quantity take-offs, material submittals, technical coordination, and project documentation while ensuring compliance with project specifications, design standards, and construction schedules.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Prepare and review landscaping shop drawings, as-built drawings, and technical submissions.
 </li>
 <li>
 Coordinate with consultants, site engineers, architects, and subcontractors regarding landscaping works.
 </li>
 <li>
 Perform quantity take-offs (QTO) for softscape and hardscape works, including paving, irrigation, planting, and site development items.
 </li>
 <li>
 Prepare material submittals, method statements, and technical documentation for consultant approval.
 </li>
 <li>
 Review project specifications, BOQs, and contract drawings to ensure compliance.
 </li>
 <li>
 Assist in preparing progress reports, work schedules, and project updates.
 </li>
 </ul>
 
 
 Educational Requirements
 
 
 
 
 
 
 Bachelor of Science in Civil Engineering
 
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum 3&ndash;7 years of experience in a technical office role within landscaping or construction projects.
 </li>
 <li>
 Experience in hardscape, softscape, irrigation, and site development works is preferred.
 </li>
 </ul>
 
 
 
 
 
 Required Technical Skills
 
 
 
 AutoCAD
 
 
 Microsoft Office (Excel, Word, PowerPoint)
 
 
 Quantity Surveying &amp; Quantity Take-Off
 
 
 Shop Drawing Preparation
 
 
 Technical Submittals
 
 
 BOQ Analysis
 
 
 Knowledge of irrigation systems and landscaping standards
 
 
 
</div>

Technical Office Engineer – Landscaping

Hilton

<div>Exceptional Hospitality Starts with You
Picture yourself brightening someone&rsquo;s day. When you join our Hotels team, that&rsquo;s exactly what you&rsquo;ll do every time you come to work! As an Assistant Chief Engineer , you&rsquo;re not just overseeing physical building and systems maintenance and repairs &ndash; you&rsquo;re spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.</div>
 <div>Here's what you'll do during a typical day:
<ul><li>Lead and develop a high-performing team: Recruit, train, supervise, and mentor team members; conduct performance evaluations, provide professional development opportunities, and recognise achievements to build a motivated and high-performing team
</li><li>Assist Chief Engineer with managing daily maintenance operations: Oversee maintenance activities, prioritize tasks, and verify completion through the property maintenance management system; ensure timely resolution of service requests, guest concerns, and emergencies
</li><li>Ensure safety and compliance: Oversee the maintenance of the physical building, mechanical systems, electrical systems, HVAC, and life safety systems, coordinate inspections, and uphold safety and compliance standards in line with national and local regulations
</li><li>Assist Chief Engineer with driving engineering performance: Monitor departmental Key Performance Indicators (KPIs), including equipment upkeep, audit results, and team productivity and act as need to improve performance
</li><li>Support hotel-wide operational leadership: Collaborate with the broader hotel leadership team in overseeing evacuation procedures, duty manager coverage, and other safety protocols as needed
</li><li>Oversee contractor work: Supervise external contractors and inspect completed work for quality and compliance
</li><li>Lead energy efficiency initiatives: Support and oversee property-wide energy conservation programs to reduce utility costs</li></ul></div>
 <div>What It Takes to Make the Stay
At Hilton, our core values define what it takes to succeed here and guide the qualities we look for in every team member:
A passion for spreading the light and warmth of Hospitality . Acting with Integrity and always doing the right thing. Inspiring others through Leadership . A belief that Teamwork drives the best outcomes. A sense of Ownership and accountability. And a focus on the Now , bringing urgency and discipline to every moment, knowing it can make a lasting impact.</div>
 <div><div><div>Join an Award-Winning Workplace Culture
 
</div><div>At Hilton, we don&rsquo;t just deliver exceptional experiences for our guests&mdash;we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we&rsquo;ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.
</div><div>Our award-winning culture has earned us repeated recognition on the World&rsquo;s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands , and a company-wide commitment to providing the best stay for every guest, we&rsquo;re setting new standards for the future of travel.
</div><div>Whether you&rsquo;re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career&mdash;and help us make every stay a little more magical.
</div></div><div>Curious about life at Hilton? Explore our Careers Blog to see why we&rsquo;re more than a great place to stay&mdash;we&rsquo;re a great place to work.</div></div>

Assistant Chief Engineer

Taasco International Trading LLC

We are looking for a highly motivated and results-driven Sales Engineer to join our team Saudi Arabia. The ideal candidate will have a strong technical background, coupled with excellent communication skills to support our sales efforts. The Sales Engineer will be responsible for developing new business, managing existing accounts, and providing technical expertise throughout the sales process.Experience: 1-3 years of sales experience in the engineering industry.Education: B-Tech/Diploma in Mechanical Engineering, Instrumentation, ElectricalPreferred valid Saudi Driving License holders.Key Responsibilities:<ul><li>Identify and generate new business opportunities in the assigned region.</li><li>Make regular visits to potential customers. Generate enquiries, preparation and submission of offers/quotations to clients on time.</li><li>Meet or exceed sales targets on a monthly/quarterly/yearly basis</li><li>Present technical product solutions to potential clients and stakeholders</li><li>Understand client requirements and provide tailored technical solutions.</li><li>Prepare and deliver product demonstrations, presentations, and technical proposals.</li><li>Provide pre-sales and post-sales support to customers, ensuring satisfaction with product installation and usage.</li><li>Monitor market trends and competitor activities to adjust sales strategies accordingly.</li><li>Prepare regular sales reports and forecasts.</li><li>On time collection of payments and credit control</li><li>Develop and nurture long-term relationships with clients for repeat business opportunities.</li></ul>Skills:<ul><li>Excellent communication and presentation skills.</li><li>Knowledge about Food, Cement, Beverages industries will be an added advantage.</li><li>Ability to understand and communicate complex technical concepts to non-technical clients.</li><li>Proficiency in MS Office Suite (Word, Excel, PowerPoint), CRM software, and other sales tools.</li><li>Strong negotiation and closing skills.</li><li>Ability to work independently and as part of a team.</li><li>Languages: Fluency in English. Knowledge in Arabic will be an added advantage</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary based on experience.</li><li>Sales incentives based on performance.</li></ul>Pay: ﷼2,500.00 - ﷼3,500.00 per monthWork Location: In person

Sales Engineer

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