Machine operator Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job Purpose</strong></span></p><br><ul><li><span>The Lead Specialist, Data Science &amp;&nbsp;Analytics,&nbsp;acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across&nbsp;Maaden.&nbsp;</span></li><li><span>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.&nbsp;</span></li><li><span>Lead Specialist, Data Science &amp; Analytics&nbsp;is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow&nbsp;</span></li></ul><p><span><strong>Key Accountabilities:</strong></span></p><br><p><span><strong>1.&nbsp;Lead End-to-End Data Science Delivery&nbsp;</strong></span></p><br><ul><li><span>Developing,&nbsp;implementing&nbsp;and&nbsp;maintaining&nbsp;databases and data collection systems&nbsp;</span></li><li><span>Own the full lifecycle of ML/AI initiatives&nbsp;-&nbsp;from problem framing, data exploration, feature engineering, model development, validation, and&nbsp;MLOps&nbsp;handover.&nbsp;</span></li><li><span>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.&nbsp;</span></li><li><span>Performing statistical analysis to understand and interpret data insights&nbsp;</span></li><li><span>Applying data mining techniques to&nbsp;identify&nbsp;patterns, trends, and relationships in large datasets&nbsp;</span></li><li><span>Building predictive models and machine learning algorithms to forecast future outcomes&nbsp;</span></li><li><span>Creating clear data visualizations and reports to communicate findings to stakeholders&nbsp;</span></li><li><span>Working with cross-functional teams to understand business needs and provide data-driven solutions&nbsp;</span></li><li><span>Design and&nbsp;maintain&nbsp;reliable data pipelines and models in partnership with data engineering to ensure data is&nbsp;accurate,&nbsp;timely, and trustworthy for downstream use</span></li><li><span>Ensuring data security and compliance with relevant regulations&nbsp;</span></li><li><span>Drive experimentation, model versioning, automated retraining, and continuous improvement.&nbsp;</span></li></ul><p><span><strong>2.&nbsp;Translate Business Needs into AI/Analytics Solutions</strong>&nbsp;</span></p><br><ul><li><span>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions&nbsp;</span></li><li><span>Engage BU/domain stakeholders to&nbsp;identify&nbsp;value creation opportunities and convert them into actionable analytics use cases.&nbsp;</span></li><li><span>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.&nbsp;</span></li></ul><p><span><strong>3.&nbsp;Industrialize AI/ML Models (ML&nbsp;Ops &amp; Architecture)</strong>&nbsp;</span></p><br><ul><li><span>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.&nbsp;</span></li><li><span>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.&nbsp;</span></li><li><span>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins&nbsp;</span></li><li><span>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements&nbsp;</span></li></ul><p><span><strong>4. Responsible AI, Quality &amp; Governance</strong>&nbsp;</span></p><br><ul><li><span>Ensure compliance with&nbsp;Maaden’s Responsible AI, data quality, and data governance frameworks.&nbsp;&nbsp;</span></li><li><span>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.&nbsp;</span></li><li><span>Ensure transparency, explainability, and continuous model governance across production and enterprise environments&nbsp;</span></li></ul><p><span><strong>5.&nbsp;Stakeholder Management &amp; Value Realization</strong>&nbsp;</span></p><br><ul><li><span>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.&nbsp;&nbsp;</span></li><li><span>Track value realization,&nbsp;adoption&nbsp;metrics, and operational impact to ensure measurable benefit.&nbsp;</span></li></ul><p><span><strong>Minimum Qualification, Experience and Core Competencies:</strong></span></p><br><p><span><strong>Minimum Qualifications:&nbsp; &nbsp;</strong></span></p><br><ul><li><span>Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.&nbsp;</span></li></ul><p><span><strong>Minimum Experience:</strong>&nbsp;</span><br>&nbsp;</p><br><ul><li><span><strong>Minimum Experience:</strong>&nbsp;&nbsp;</span></li><li><span>6+&nbsp;years’ experience in&nbsp;Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments&nbsp;preferred.&nbsp;Including&nbsp;at least 2 years leading or mentoring analytics professionals&nbsp;</span></li><li><span>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.&nbsp;</span></li><li><span>Strong&nbsp;proficiency&nbsp;with modern ML frameworks and cloud platforms (TensorFlow,&nbsp;PyTorch, Azure, AWS)&nbsp;–&nbsp;Microsoft AI Factory&nbsp;</span></li><li><span>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering&nbsp;teams.&nbsp;</span></li><li><br><span><strong>Machine Learning &amp; Advanced Analytics</strong></span><ul><li><span>Hands-on experience developing and deploying <strong>machine learning models</strong>, including <strong>time-series forecasting, predictive modeling, and optimization use cases</strong></span></li><li><span>Strong understanding of <strong>model performance, validation, stability, and business impact</strong></span></li></ul></li><li><span><strong>Generative AI &amp; AI Agents</strong></span><ul><li><span>Practical experience with <strong>Generative AI solutions</strong>, including <strong>copilots, intelligent automation, and agent-based workflows</strong></span></li><li><span>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency</span><br><span>Good to Have Capabilities</span></li></ul></li><li><span><strong>Data Engineering (IT + OT)</strong></span><ul><li><span>Experience designing and maintaining <strong>data pipelines</strong> across IT and OT environments</span></li><li><span>Exposure to <strong>sensor data, streaming / real-time data processing</strong>, and industrial data sources</span></li><li><span>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows</span></li></ul></li><li><span><strong>MLOps / AgentOps</strong></span><ul><li><span>Experience in <strong>model deployment and lifecycle management</strong>, including:&nbsp;</span><ul><li><span>Transition from model development to <strong>production and scale</strong></span></li><li><span>Monitoring, retraining, versioning, and drift management</span></li></ul></li><li><span>Familiarity with automation and operationalization of ML/AI workloads</span><br><span>Preferred Experience &amp; Platforms</span></li></ul></li><li><span><strong>Cloud &amp; Analytics Platforms</strong></span><ul><li><span>Experience working with enterprise cloud platforms, preferably:&nbsp;</span><ul><li><span><strong>Microsoft Azure Data Platform</strong></span></li><li><span><strong>Databricks AI Platform</strong></span></li><li><span><strong>Microsoft AI Foundry / Microsoft AI Factory</strong></span></li></ul></li><li><span>Understanding of cloud-native architectures for scalable analytics and AI solutions</span></li></ul></li></ul><p><span><strong>Core Competencies:</strong></span></p><br><ul><li><span><strong>Model Accuracy &amp; Reliability:</strong>&nbsp;Performance, drift stability, and operational uptime.&nbsp;&nbsp;</span></li><li><span><strong>Adoption &amp; Business Impact:</strong>&nbsp;Value realized, user adoption, integration success.&nbsp;&nbsp;</span></li><li><span><strong>Delivery Velocity:</strong>&nbsp;Timeliness of development cycles and deployment readiness.&nbsp;&nbsp;</span></li><li><span><strong>Compliance &amp; Quality:</strong>&nbsp;Alignment with Responsible AI, governance, and documentation standards.&nbsp;</span></li></ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Production Planning &amp; Execution: Draw up and execute daily/weekly schedules, ensuring raw materials are supplied, Machine Shop, and equipment remains operational. Quality Control: Establish and strictly enforce quality control standards, immediately addressing or halting production when defects fall outside of manufacturing specifications. Team Management &amp; Training: Organize shifts, delegate tasks, hire and onboard new personnel, and conduct performance evaluations. Health, Safety, &amp; Compliance: Monitor the shop floor to ensure workers adhere to all safety guidelines, protocols, and standard operating procedures (SOPs). Reporting &amp; Efficiency: Monitor performance indicators (KPIs), identify bottlenecks, and draft performance reports to submit to the Production Manager.</p>

Service Engineer – Foundation Construction Machinery Job Responsibilities Daily machinery maintenance Perform routine maintenance and upkeep of foundation construction equipment, including rotary drilling rigs, diaphragm wall machinery, and hydraulic pile‑driving rigs. Handle new machine delivery, after‑sales inspections, and repairs. Technical support Provide on‑site and remote technical support to customers and resolve equipment issues efficiently. Customer visits and inspections Conduct regular customer visits, perform equipment inspections, and manage acceptance and maintenance of newly delivered equipment. Parts coordination Ensure timely availability of spare parts, execute parts sales plans, and support customer satisfaction initiatives. Diagnostics and repairs Analyze and diagnose mechanical and technical problems, perform repairs, and replace faulty components. Product upgrades Support the implementation of product upgrades, technical modifications, and improvement programs. Reporting and coordination Submit accurate service reports on time and coordinate with engineering and sales teams in China.<br><br>Job Requirement<br>s<br>Education Bachelor’s degree or above in Mechanical Engineering or a related field. Experience Minimum 3 years of technical service or service management experience; experience in the foundation construction machinery industry is preferred. Language Proficiency in English or Arabic as a working language. Driver’s license Valid Saudi Arabia driver’s license is mandator<br>y.

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the AI Research Engineer Role</h3> <p style="margin:0 0 12px; ************;">Jobgether is seeking an experienced AI Research Engineer with a focus on multimodal and vision capabilities. This full-time position involves contributing to the development of advanced AI systems, covering the entire model lifecycle from data preparation and training to evaluation and deployment. The role offers significant ownership and the opportunity to apply state-of-the-art techniques to complex challenges within a collaborative team environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Conduct end-to-end research and development of vision-language models, including training, evaluation, optimization, and deployment.</li> <li style="margin:0 0 6px;">Design and implement advanced post-training methodologies such as supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.</li> <li style="margin:0 0 6px;">Build, curate, filter, and maintain high-quality multimodal datasets tailored to domain-specific applications.</li> <li style="margin:0 0 6px;">Improve model efficiency and scalability through optimization, compression, and adaptation techniques suitable for resource-constrained environments.</li> <li style="margin:0 0 6px;">Develop benchmarking systems and evaluation frameworks to assess model quality, robustness, and real-world performance.</li> <li style="margin:0 0 6px;">Build and maintain distributed training workflows across GPU infrastructure while identifying and resolving performance bottlenecks.</li> <li style="margin:0 0 6px;">Contribute to open-source AI ecosystems by leveraging and enhancing models, datasets, and development tools.</li> <li style="margin:0 0 6px;">Monitor emerging research in multimodal learning and vision-language systems, translating relevant advancements into practical improvements.</li> <li style="margin:0 0 6px;">Collaborate on research publications and contribute to scientific advancements through conference or journal submissions.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field; Master's or PhD is preferred.</li> <li style="margin:0 0 6px;">5-10 years of experience in AI research and development.</li> <li style="margin:0 0 6px;">Strong hands-on experience working with multimodal AI systems, particularly vision-language models.</li> <li style="margin:0 0 6px;">Proven expertise in supervised fine-tuning, knowledge distillation, reinforcement learning from feedback, and other post-training optimization techniques.</li> <li style="margin:0 0 6px;">Experience with parameter-efficient fine-tuning approaches and distributed training frameworks.</li> <li style="margin:0 0 6px;">Demonstrated success improving model performance on industry-standard benchmarks or production use cases.</li> <li style="margin:0 0 6px;">Strong understanding of model optimization techniques for deployment in resource-constrained environments.</li> <li style="margin:0 0 6px;">Experience building scalable machine learning pipelines and training workflows on GPU infrastructure.</li> <li style="margin:0 0 6px;">Proven contributions to open-source multimodal AI projects through platforms such as GitHub or Hugging Face.</li> <li style="margin:0 0 6px;">Research background supported by publications in leading AI conferences or journals is highly desirable.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Essential Skills and Attributes</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong analytical thinking and problem-solving skills.</li> <li style="margin:0 0 6px;">Ability to balance research innovation with production-oriented engineering practices.</li> <li style="margin:0 0 6px;">Excellent communication skills.</li> <li style="margin:0 0 6px;">Ability to collaborate effectively within distributed, cross-functional teams.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Type</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">full-time</strong> position. You will be working within a highly skilled and collaborative team environment, contributing to the development of AI solutions designed for real-world production.</p>

One of our clients in Riyadh is looking for General Manager (Indoor Entertainment), will lead the company business across the Kingdom of Saudi Arabia, driving sustainable growth, operational excellence, customer experience and Tribe culture as the business rapidly scales.<br>Values & Behaviour Lead the company Tribe and Values across the Kingdom, ensuring all Tribe members bring them to life every day. Positively influence and strengthen the company culture through direct and indirect leadership. Take every opportunity to promote the company Vision, Mission, Purpose and Values internally and externally. Lead with authenticity, energy, accountability and a strong customer mindset.<br>Leadership Lead the KSA business strategy and translate plans into clear execution and measurable outcomes. Build and lead a scalable KSA organizational structure capable of supporting rapid venue expansion. Develop strong leaders and succession pipelines across the Kingdom. Drive effective communication and alignment across venues, functions and Dubai HQ<br>Commercial Performance & Profitability Own and deliver the KSA P&L, venue KPI’s and annual budgets. Drive sustainable and profitable revenue growth across all operating venues. Analyse business KPI’s including sales, labour, occupancy, customer satisfaction and profitability, implementing action plans to improve performance. Manage expenses and ensure controllable costs remain in line with budgets.<br>Operations & Customer Experience Ensure all venues consistently deliver the company experience and maintain brand standards. Lead operational excellence across safety, service, cleanliness, customer flow and venue presentation. Create systems, processes, dashboards and reporting rhythms that support scalable growth. Ensure every venue delivers an environment where customers feel welcomed, free, supported and inspired to progress.<br>Requirement:15+ years leadership experience across multi-site consumer businesses including hospitality, entertainment, leisure and/or retail. Strong experience operating and scaling businesses within KSA. Proven commercial acumen with ownership of P&L, budgets and sustainable revenue growth. Experience launching, scaling or expanding multi-site businesses. Strong operator with the ability to balance strategy and hands-on execution. Exceptional people leader and culture creator. Comfortable operating within matrix reporting structures and cross-functional environments. Deep understanding of customer experience and brand-led consumer businesses.

We're Hiring: Factory Production Manager — Exhibition & Events (Riyadh)<br>We are looking for a hands-on Factory Production Manager to take full ownership of our exhibition and events fabrication floor in Riyadh. This is a role for a proven operator who lives in the factory, drives output, and solves problems before they reach the client. About the Role<br>You will run the entire production operation end-to-end — from engineering and shop drawings through joinery, metal, acrylic, printing and finishing, to final QC and dispatch. You'll be the person who keeps the floor moving, the costs controlled, and the deadlines met on high-pressure event and exhibition builds.<br>Key Responsibilities Take full charge of the production floor and technical operations, from engineering hand-off through fabrication, finishing, and dispatch out of the factory. Lead and coordinate all disciplines — joinery, metalwork, acrylic, printing, and technical engineering — ensuring quality, consistency, and on-time delivery. Optimise production workflows and factory capacity to increase throughput and reduce cost without compromising quality. Act as the primary troubleshooter on the floor: anticipate bottlenecks, resolve technical and production issues fast, and find practical solutions under tight event timelines. Review and validate engineering and shop drawings for producibility before work starts. Plan and schedule production across concurrent projects, allocating manpower, machinery, and materials efficiently. Enforce quality control, safety, and finishing standards through to final inspection and dispatch. Work closely with project management, procurement, and design teams to keep every build on scope, on budget, and on schedule.<br>Requirements Minimum 7 years' experience managing exhibition and events fabrication factories, ideally in Riyadh / KSA. Full technical command across joinery, metal, acrylic, printing, and technical engineering. Proven ability to optimise production, reduce cost, and deliver under demanding event deadlines. Strong leadership presence on the floor with the ability to manage multi-disciplinary teams. Solutions-driven mindset — a genuine troubleshooter, not just a coordinator.<br>Location: Riyadh, Saudi Arabia Industry: Exhibitions, Events & Premium Fit-Out

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.<br>JOB TITLEInterior Designer | Majid Al Futtaim Life Style | Design<br>ROLE SUMMARYThe Interior Designer will be responsible for providing design services to help customers choose materials and furnishings and ensuring that budget, schedule and client expectations are met from time of project inception to owner occupancy<br>ROLE PROFILEDetermine the client’s goals and requirements of the project Prepare final plans, using computer applications Place orders for materials and oversee installing the design elements Responsible for cultivating and marketing to new clients and maintaining existing client relationships Ensure awareness and understanding of product range knowledge, sharing the information with customers to encourage sales. Consistently achieve or exceed individual sales goals, while enhancing and developing the business. Set costs and project fees according to budget Specify materials and furnishings, such as lighting, furniture, wall finishes, flooring, and plumbing fixtures<br>REQUIREMENTSBachelor's degree in interior design or similar.2-3 years of experience in similar field Proficient in Auto CAD, Sketch Up, 3D Max, Illustrator or other design programs Communication and presentation skills<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

<p>Overview</p><p>GovCIO is currently hiring for a GCCS - J C4ISR Technical Training Staff Instructor to provide training, instruction, and curriculum development support for GCCS - J Cyber Security, Intelligence Module, and/or System Engineering and buttonology. This position will be located in Riyadh, Saudi Arabia and will be a fully onsite position.</p><p>Responsibilities</p><ul><li>Designs and delivers C4ISR training instructions/curriculum to train all levels of personnel.</li><li>Formulates C4ISR teaching outline and determines instructional methods such as individual training, group instruction, lectures, demonstrations, conferences, meetings and workshops.</li><li>Develops C4ISR tests and visual aids, conducts training classes, and develops criteria for evaluating effectiveness of training activities.</li><li>Collaborates with the Lead ISD and Program Manager to identify program needs, obtain technical data and conducts training support according to the training mission.</li><li>Keeps abreast of training and development research: learning theory, motivation theory, and new materials, methods, and techniques.</li><li>Confers with leadership and the management team, employees and clients to gain knowledge of work situations requiring training and to better understand changes in policies, procedures, regulations, business initiatives and technologies.</li><li>May evaluate and/or oversee contractors or vendors to develop and/or administer training programs.</li><li>Experienced with frequent use and application of technical standards, principles and theories.</li><li>Works under general supervision, providing solutions to technical problems of moderate scope/complexity.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><p>Required Skills and Experience</p><ul><li>Bachelor's degree</li><li>2-4 years exp</li><li>Clearance: Secret</li><li>Knowledge of GCCS - J and C4ISR Systems to include technical operations of the suite and components</li><li>Experience provided training instructions in a military environment</li><li>Clearance Level: must be able to pass an FBI background check and obtain a visa for KSA</li></ul><p>Preferred Skills and Experience</p><ul><li>GCCS - J Operator, Intelligence, Cyber Security, or Computer Networking background</li><li>Experience working abroad in austere environments such as KSA</li><li>Energetic, self-starter who works well in a team environment</li></ul><p>#RSNF #SSG #NSS #TMK #TM</p>

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.<br>JOB TITLEInterior Designer | Majid Al Futtaim Life Style | Design<br>ROLE SUMMARYThe Interior Designer will be responsible for providing design services to help customers choose materials and furnishings and ensuring that budget, schedule and client expectations are met from time of project inception to owner occupancy<br>ROLE PROFILEDetermine the client’s goals and requirements of the project Prepare final plans, using computer applications Place orders for materials and oversee installing the design elements Responsible for cultivating and marketing to new clients and maintaining existing client relationships Ensure awareness and understanding of product range knowledge, sharing the information with customers to encourage sales. Consistently achieve or exceed individual sales goals, while enhancing and developing the business. Set costs and project fees according to budget Specify materials and furnishings, such as lighting, furniture, wall finishes, flooring, and plumbing fixtures<br>REQUIREMENTSBachelor's degree in interior design or similar.2-3 years of experience in similar field Proficient in Auto CAD, Sketch Up, 3D Max, Illustrator or other design programs Communication and presentation skills<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >What you will do</span></p><p>This is not a helper or shadow-only role. Interns work on real production tasks under senior review.</p><ul><li>Investigate slow queries on PostgreSQL read execution plans, analyze query statistics, propose index changes or query rewrites, and validate impact on staging</li><li>Review DDL/DML change requests from product teams: lock implications, backfill safety, rollout strategy, rollback plan</li><li>Help maintain backup and point-in-time-recovery procedures; participate in restore drills</li><li>Contribute to replication operations streaming replicas, promotion runbooks, replica lag investigations, connection pool tuning</li><li>Support live database migrations and cross-cluster cutovers: pre-cutover validation, monitoring during cutover, post-cutover checks</li><li>Help operate data-migration tooling: review deployments, manage migration batches under senior approval, monitor migration metrics</li><li>Triage capacity and resource issues: bloat, autovacuum tuning, partition maintenance, IOPS planning</li><li>Build and refine observability dashboards, monitors, query stats, wait-event analysis, replication lag tracking</li><li>Maintain operational runbooks, SOPs, and post-incident write-ups</li><li>Support secure data handling reviews together with security and risk teams (PII fields, encryption at rest, role-based access)</li><li>Participate in on-call shadowing alongside senior engineers</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Working knowledge of at least one programming or scripting language (Python, Go, or Bash)</li><li>Solid SQL skills: joins, aggregation, window functions, CTEs, subqueries</li><li>Understanding of relational database fundamentals: ACID, transaction isolation levels, indexes (B-tree, hash), normalization, primary and foreign keys</li><li>Conceptual understanding of how a query planner works and how to read an execution plan (EXPLAIN, EXPLAIN ANALYZE)</li><li>Familiarity with Linux command line and POSIX-like environments</li><li>Understanding of TCP/IP, DNS, and basic networking</li><li>Ability to read, understand, and modify existing codebases</li><li>Experience with Git and standard development workflows</li><li>Strong ethical mindset and discretion production data is sensitive by default, non-disclosure outside the team is non-negotiable</li><li>Open to constructive feedback</li><li>English sufficient for documentation and team communication</li><li><strong>Strong plus</strong></li><li>Hands-on experience with PostgreSQL even from personal projects, university coursework, or open-source contributions</li><li>Exposure to other data stores: ClickHouse, CockroachDB, Redis, MongoDB, Kafka</li><li>Understanding of replication concepts (logical vs physical, streaming, WAL, replication slots)</li><li>Familiarity with CDC patterns (Debezium, Flink, logical replication consumers)</li><li>Familiarity with connection poolers (PgBouncer or similar)</li><li>Familiarity with cloud-managed databases on GCP (CloudSQL, AlloyDB) or AWS (RDS, Aurora)</li><li>Awareness of Kubernetes-native database operators (CloudNativePG, Zalando Postgres Operator)</li><li>Exposure to Infrastructure-as-Code tooling (Terraform)</li><li>Familiarity with an observability stack (Datadog, Prometheus, Grafana, or similar)</li><li>Understanding of partitioning strategies and large-table maintenance</li><li>Awareness of regulatory frameworks relevant to fintech (PCI DSS, ISO 27001, SAMA)</li><li>Interest in database internals storage layout, MVCC, vacuum, autovacuum tuning CTFs, database challenges, or open-source contributions to database tooling</li><li><strong>What we do not expect</strong></li><li>Prior professional DBA experience</li><li>Mastery of all listed databases and tooling</li><li>Ability to run independent performance audits on production systems</li><li>Deep internals expertise (planner internals, custom extensions, replication protocol details)</li><li>Existing certifications (PostgreSQL Associate / Professional, GCP Database Engineer, AWS Database Specialty) welcome but not required</li><li><strong>Eligibility</strong></li><li>Saudi nationals only</li><li>Self-funded internship by Tabby</li><li>We welcome both current students and fresh grads</li><li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li></ul><p></p></section>

Job Purpose<br><br>The Senior Presales Solutions Architect is responsible for leading the technical presales lifecycle for opportunities involving digital solutions, enterprise platforms, microservices, artificial intelligence, data, analytics, business intelligence and telecom solutions.<br><br>The role works closely with sales, delivery, product, architecture, finance, partners and customers to understand business needs, define suitable solution approaches, design robust technical architectures, prepare high-quality technical proposals, estimate implementation efforts and present proposed solutions to executive, business and technical stakeholders.<br><br>The position requires strong technical architecture capabilities, telecom industry knowledge, proposal development experience, commercial awareness, stakeholder management and customer presentation skills.<br><br>Key Responsibilities<br><br> Opportunity Qualification and Presales Planning Review customer opportunities, RFPs, RFIs, tenders, statements of work and business requirements Assess opportunities from technical, delivery, resource, commercial and strategic perspectives Participate in Go/No-Go evaluations and provide clear technical recommendations Identify missing information, dependencies, risks, assumptions and clarification questions Develop presales response plans, technical workstreams, responsibilities and submission timelines Coordinate with sales, PMO, delivery, finance, legal, cybersecurity and external partners Evaluate whether each opportunity is aligned with the organization's capabilities, technologies, resources and strategic direction Identify technical gaps and recommend suitable partners or subcontractors where required Requirements Analysis and Solution Definition Conduct discovery sessions and workshops with customers and internal stakeholders Translate business requirements into functional and non-functional technical requirements Understand customer challenges, existing platforms, integration landscapes, data sources, operational processes and future objectives Define suitable use cases across digital solutions, microservices, AI, data, BI and telecom domains Prioritize use cases based on value, feasibility, cost, implementation complexity and expected outcomes Identify opportunities for automation, process improvement, intelligent services, analytics and customer experience enhancement Ensure requirements are clear, measurable, traceable and aligned with the proposed solution Prepare requirement-traceability and compliance matrices Validate requirements with business, technical, security and operational stakeholders Digital Solution Architecture Design end-to-end digital solution architectures covering enterprise portals, web applications, mobile applications, content management, workflows, integration, data, security, infrastructure and operations Prepare high-level architecture, logical architecture, system-context diagrams, integration diagrams, deployment views and data-flow diagrams Recommend suitable technologies, frameworks, platforms and architectural patterns Ensure proposed solutions are scalable, secure, resilient, maintainable, observable and cost-effective Design solutions for cloud, on-premises, hybrid and sovereign deployment environments Define availability, performance, scalability, backup and disaster-recovery requirements Ensure technical designs comply with customer architecture standards, security policies and operational requirements Define reusable components and shared technical services Microservices and Integration Architecture Design microservices-based architectures using domain-driven design, API-first principles and event-driven patterns Define service boundaries, APIs, integration contracts, data ownership and communication mechanisms Design synchronous and asynchronous integrations using REST APIs, API gateways, message brokers, event streaming and enterprise integration platforms Recommend suitable containerization and orchestration approaches using Docker, Kubernetes or equivalent technologies Define requirements for service discovery, centralized configuration, secrets management, monitoring, logging, tracing and fault tolerance Address scalability, availability, performance, security and disaster-recovery requirements Support the modernization of legacy applications and monolithic systems Recommend suitable CI/CD, Dev Sec Ops and automated testing approaches Define API governance, versioning, security and lifecycle-management practices Artificial Intelligence Solutions Identify and define practical AI and generative AI use cases based on customer requirements Design AI solution architectures covering machine learning, natural language processing, computer vision, forecasting, recommendation, classification and intelligent automation Define generative AI solutions using large language models, retrieval-augmented generation, embeddings, vector databases, knowledge bases, fine-tuning and AI agents Design AI integration approaches with customer systems, databases, APIs, documents and enterprise platforms Define data preparation, model training, evaluation, deployment, monitoring and continuous-improvement approaches Address AI governance, privacy, security, explainability, bias, hallucination control and human approval requirements Evaluate cloud-based, on-premises and hybrid AI deployment options Support AI demonstrations, pilots, prototypes and proof-of-concepts Estimate infrastructure, storage, compute and GPU requirements for AI workloads Define measurable AI success criteria, expected business value and operational outcomes Data and Business Intelligence Solutions Design business intelligence, analytics, reporting and data-visualization solutions Define data integration and processing approaches using ETL, ELT, APIs, streaming and data pipelines Design conceptual architectures for data warehouses, data lakes, lakehouses, operational data stores and analytical platforms Identify data sources, data-quality requirements, metadata, master data and governance considerations Define dashboards, KPIs, executive reports, operational reports and self-service analytics capabilities Recommend suitable BI and analytics platforms based on customer requirements Work with business stakeholders to ensure KPIs and reports support measurable objectives Define requirements for data access, security, lineage, retention, classification and quality monitoring Support analytical use cases such as forecasting, segmentation, trend analysis and performance monitoring Ensure BI solutions provide accurate, timely and trusted information Telecom Solution Experience Design and support solutions for telecom operators, service providers and communication organizations Understand telecom customer journeys, digital channels, customer care, billing, charging, order management, product catalogues, service fulfilment and service assurance Understand how customer-facing telecom systems integrate with network and operational platforms Support solution design across Business Support Systems and Operations Support Systems Understand common telecom domains, including:Customer relationship management Product and service catalogues Order management Billing and charging Payments and collections Customer self-service applications Service provisioning and activation Network and service inventory Fault and alarm management Performance monitoring Service assurance Field-service operations Design integrations between digital channels, customer platforms, billing systems, order-management systems and network-service platforms Understand telecom APIs, integration platforms and event-driven architecture Apply TM Forum concepts and Open APIs where relevant Support telecom use cases involving customer experience, loyalty, churn prediction, personalized recommendations, fraud detection, network analytics and intelligent customer care Understand telecom operational KPIs, service-quality indicators and customer-experience measurements Address telecom security, regulatory, data-residency and operational requirements Prepare architecture designs, technical proposals and demonstrations for telecom customers Communicate effectively with telecom business, enterprise architecture, IT, data, cybersecurity and network stakeholders Technical Proposal Development Lead the preparation of complete technical proposals and tender responses Develop and review proposal sections including:Executive summary Understanding of customer requirements Proposed solution Solution architecture Scope of work Deliverables Implementation methodology Project phases and schedule Team structure and responsibilities Assumptions and dependencies Risks and mitigation actions Service-level requirements Security and compliance Support and maintenance Training and knowledge transfer Compliance matrices Bill of quantities Technical appendices Ensure proposals are accurate, consistent, persuasive, compliant and professionally presented Maintain traceability between customer requirements and the proposed solution Review contributions from internal teams, vendors, subcontractors and technology partners Ensure the final proposal clearly communicates business value, technical feasibility and competitive differentiation Manage technical proposal reviews and obtain the required internal approvals Ensure all technical commitments, deliverables and schedules are realistic and achievable Verify that proposed technologies and products are properly licensed, supported and available Costing and Commercial Support Develop effort estimates for analysis, architecture, design, development, integration, testing, deployment, support and project management Prepare resource plans, role descriptions, competency requirements and estimated person-days Support the preparation of bills of quantities and technical costing assumptions Work with finance and sales to validate resource costs, infrastructure costs, licensing costs, partner costs, margins and contingencies Identify potential commercial risks, hidden costs and out-of-scope items Support fixed-price, time-and-material, managed-service, staff-augmentation and subscription-based proposals Ensure the proposed scope is commercially achievable and technically deliverable Validate partner and vendor quotations Recommend suitable contingency levels based on technical, delivery and dependency risks Clearly document pricing assumptions, exclusions and dependencies Support value engineering and cost-optimization activities without compromising the required quality Customer Engagement and Presentations Present proposed solutions to customer executives, business stakeholders, architects, security teams and technical evaluators Lead technical clarification meetings, discovery workshops, demonstrations and solution walkthroughs Explain complex technical concepts in clear business language Respond to customer questions, concerns and objections confidently and accurately Demonstrate the business value, feasibility, scalability and differentiation of the proposed solution Build trusted relationships with customer technical and business stakeholders Support negotiations and technical discussions until contract award Participate in technical evaluation sessions and defend the proposed solution Prepare presentation materials, architecture visuals and technical demonstrations Support customer meetings related to scope, assumptions, dependencies and delivery approach Proof-of-Concept and Demonstration Management Define the scope, success criteria, architecture, timeline and required resources for demonstrations and proof-of-concepts Coordinate with engineering, AI, data, Dev Ops, product and delivery teams Ensure demonstrations are aligned with customer priorities and evaluation criteria Document proof-of-concept results, limitations, dependencies and recommendations Convert successful proof-of-concepts into realistic implementation plans Ensure reusable demonstration assets are documented and maintained Define the required data, environments, integrations and access for each demonstration Manage customer expectations regarding proof-of-concept scope, limitations and outcomes Present proof-of-concept findings and recommendations to customer stakeholders Partner and Vendor Management Engage technology vendors, cloud providers, product companies and implementation partners Request technical inputs, quotations, licensing details, architecture guidance and compliance documentation Evaluate partner capabilities, proposed resources, delivery models and technical solutions Ensure partner contributions align with the overall architecture and proposal Identify technical, delivery and commercial gaps in third-party proposals Maintain accountability for the completeness and quality of the final integrated solution Coordinate joint solution development and proposal preparation Validate that partner commitments, schedules and deliverables are clearly documented Escalate partner delays or quality issues that may affect proposal submission or delivery feasibility Security, Governance and Compliance Ensure proposed solutions address security, privacy and regulatory requirements Define identity and access management, encryption, audit logging, data protection and API-security requirements Work with cybersecurity teams to address security controls and customer compliance requirements Consider applicable Saudi regulations, cybersecurity controls and data-hosting requirements Ensure AI and data solutions follow appropriate governance principles Identify security-related assumptions, risks and dependencies Support the completion of security and compliance questionnaires Ensure secure architecture principles are incorporated from the proposal stage Address data classification, residency, retention and sovereignty requirements Presales-to-Delivery Handover Conduct a structured handover from presales to delivery after contract award Explain the agreed scope, assumptions, deliverables, architecture, schedule, risks, resource plan and contractual commitments Ensure delivery teams understand all technical and commercial boundaries Participate in project kickoff and early-stage architecture validation Support delivery teams in resolving significant gaps between the proposal and implementation requirements Document lessons learned and improvement actions for future opportunities Ensure all proposal documents, estimates and customer clarifications are transferred to the delivery team Maintain continuity between the proposed solution and the delivered solution Ensure changes identified after award are managed through the appropriate change-control process Presales Assets and Continuous Improvement Develop reusable proposal templates, architecture patterns, solution accelerators, estimations and compliance responses Maintain a knowledge repository for technologies, products, telecom use cases and previous proposals Monitor market developments and emerging technologies related to digital solutions, microservices, AI, data, BI and telecom Share knowledge and best practices with presales, sales, architecture and delivery teams Support internal capability development and technical enablement Improve proposal quality, estimation accuracy and response efficiency Contribute to the organization's service offerings and solution portfolio Maintain reusable architecture diagrams, case studies, references and demonstration materials<br><br>Requirements<br><br>Required Qualifications<br><br>Bachelor's degree in computer science, software engineering, information systems, data science, artificial intelligence or a related field A master's degree is preferred Minimum of eight years of experience in software engineering, solution architecture, digital solutions, enterprise applications, AI, data or business intelligence Minimum of four years of experience in technical presales, solution consulting, enterprise architecture or proposal management Minimum of three years of experience working with telecom operators, telecom projects or telecom-related solutions Proven experience responding to enterprise, government and telecom RFPs, RFIs and tenders Demonstrated experience designing and presenting complex enterprise and telecom solutions Experience working with technology vendors, system integrators, implementation partners and multidisciplinary delivery teams Experience in customer-facing technical roles and executive-level presentations<br><br>Required Technical Knowledge<br><br>Digital Solutions<br><br>Enterprise portals and web applications Mobile applications Content management systems Workflow and business-process management Customer-experience platforms Omnichannel solutions Identity and access management API and integration platforms Enterprise search and document management<br><br>Microservices and Cloud-Native Architecture<br><br>Microservices architecture Domain-driven design REST APIs and event-driven architecture API gateways and service mesh Kafka or similar event-streaming platforms Docker and Kubernetes CI/CD and Dev Sec Ops Observability, logging, monitoring and tracing High availability and disaster recovery Cloud, on-premises and hybrid architectures<br><br>Artificial Intelligence<br><br>Machine learning and deep learning concepts Generative AI and large language models Retrieval-augmented generation Vector databases and embeddings AI agents and tool integration Natural language processing Computer vision Recommendation and forecasting Model deployment and monitoring Responsible AI and AI governance<br><br>Data and Business Intelligence<br><br>Data integration and ETL/ELTData warehouses, data lakes and lakehouses Data modelling Data quality and governance Dashboards and data visualization KPIs and analytical reporting Power BI, Tableau, Qlik, Looker or equivalent platforms SQL and relational databases Big-data and streaming concepts Metadata, lineage and master-data management<br><br>Telecom<br><br>Telecom customer journeys and digital channels Business Support Systems and Operations Support Systems Customer relationship management Product and service catalogues Order management Billing and charging Service provisioning and activation Service and network inventory Service assurance and fault management Telecom APIs and integration platforms TM Forum concepts and Open APIsTelecom analytics and operational KPIsCustomer-experience, loyalty and churn use cases<br><br>Security and Compliance<br><br>Application and API security Identity and access management Encryption and secrets management Secure software-development practices Data privacy and classification Cybersecurity requirements Auditability and compliance Saudi and regional regulatory requirements<br><br>Required Presales Skills<br><br>Strong technical proposal-writing skills Ability to interpret complex RFP and tender requirements Strong architecture and solution-design capabilities Ability to estimate effort, resources, infrastructure and licensing Strong presentation, demonstration and storytelling skills Ability to connect technical capabilities with measurable business value Strong analytical and problem-solving skills Ability to manage multiple opportunities and tight deadlines Strong stakeholder, vendor and partner coordination skills Commercial awareness and understanding of proposal profitability Ability to challenge unrealistic scope, timelines or assumptions professionally Strong English communication and technical-writing skills Arabic communication skills are preferred for customer-facing roles in Saudi Arabia<br><br>Behavioral Competencies<br><br>Customer-focused and business-oriented Accountable and results-driven Structured and detail-oriented Proactive in identifying risks and gaps Confident when communicating with senior stakeholders Collaborative across sales, technical, delivery and commercial teams Able to work effectively under pressure Capable of making decisions with incomplete information Strong negotiation and influencing skills Committed to quality, accuracy and continuous improvement Able to take ownership of opportunities from qualification through delivery handover<br><br>Key Performance Indicators<br><br>Technical proposal quality and compliance Percentage of proposals submitted on time Opportunity technical-qualification accuracy Opportunity win rate Accuracy of effort and cost estimates Number of proposal clarifications caused by technical gaps Customer satisfaction with presentations and demonstrations Effectiveness of presales-to-delivery handover Number of reusable solution assets and proposal templates developed Contribution to the qualified sales pipeline and awarded opportunities Alignment between proposed and delivered scope Identification and prevention of technical and commercial risks Collaboration effectiveness with sales, delivery, finance and partners Quality of telecom solution designs and proposal responses<br><br>Preferred Certifications<br><br>TOGAF or equivalent architecture certification AWS, Microsoft Azure, Google Cloud or Oracle Cloud architecture certification Kubernetes or cloud-native certification AI, machine-learning or generative-AI certification Microsoft Power BI or another BI-platform certification TM Forum certification ITIL, COBIT or project-management certification Security architecture or cybersecurity certification<br><br>Mandatory Experience Statement<br><br>Telecom industry experience is mandatory.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p><span>As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.</span></p><br><p><span>This is a unique opportunity to design, build, and deploy a wide range of applications⸺from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.</span></p><br><p><b>Key Responsibilities:</b></p><br><ul><li><p><span>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</span></p><br></li><li><p><span>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</span></p><br></li><li><p><span>Agentic AI:&nbsp; Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</span></p><br></li><li><p><span>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</span></p><br></li><li><p><span>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</span></p><br></li><li><p><span>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</span></p><br></li><li><p><span>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</span></p><br></li><li><p><span>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</span></p><br></li></ul><p><b>Knowledge, Skills and Abilities<span>:</span></b></p><br><p><span>AI &amp; Machine Learning Expertise:</span></p><br><ul><li><p><span>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</span></p><br></li><li><p><span>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</span></p><br></li><li><p><span>Solid understanding of the end-to-end agentic AI lifecycle from building agents in&nbsp; frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</span></p><br></li></ul><p><br><span>Application Development &amp; Operations:</span></p><br><ul><li><p><span>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</span></p><br></li><li><p><span>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</span></p><br></li><li><p><span>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</span></p><br></li><li><p><span>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</span></p><br></li><li><p><span>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</span></p><br></li></ul><p>Requisite Education and Experience / Minimum Qualifications:</p><br><ul><li><p><span>Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.</span></p><br></li><li><p><span>Education: A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.</span></p><br></li><li><p><span>Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).</span></p><br></li><li><p><span>DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.</span></p><br></li><li><p><span>MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.</span></p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are currently looking for&nbsp; dynamic, and self motivated Front Office professionals who want to move their careers forward.<br><br>As a Telephone Operator you are responsible to handle every phone call with importance to provide professional and customer focused response to our guests, ensuring their stay will become a memorable experience, whereby your role will include key responsibilities such as:<br><br>• Receive each guest call in a professional and friendly manner<br>• Maintain effective communication with all related department to ensure smooth service delivery<br>• Handle every query in a polite and courteous manner and exceed guest expectations<br>• Ensure guests are greeted by name upon calling as per the Rotana Standard<br>• Maintain an up to date knowledge of the hotel and local services<br>• Maintain an awareness of guest profile through the Opera guest profile system<br>• Complete management’s long distance call vouchers and record them on the traffic sheet<br>• Maintain the guest wake up call sheet and deliver calls accordingly on time and to the established standard<br>• Ensure the proper operation of the switchboard, resulting in fast and efficient transferring of internal and external calls<br>• Take messages for guests and management as per the required standard</p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<br><ul><li><p>Operate Forklift (10T) or Mobile Crane (50T/55T) safely and efficiently.</p></li><li><p>Perform daily pre-operation inspections and report any defects.</p></li><li><p>Follow Saudi Aramco safety procedures and project regulations.</p></li><li><p>Load, unload, lift, move, and position materials/equipment safely.</p></li><li><p>Ensure proper use of lifting equipment and comply with lifting plans.</p></li><li><p>Maintain equipment in good working condition and report maintenance requirements.</p></li><li><p>Follow supervisor instructions and support daily site operations.</p></li><li><p>Maintain valid operator certifications and comply with all HSE requirements.</p></li><li><p>Adhere to company policies and ensure a safe working environment.</p></li></ul><br><p><strong>Note:</strong><br>Forklift Operators must hold a valid <strong>Saudi Aramco Certification</strong> and <strong>Energy Tech / NITI (formerly SPSP) Certification</strong>.<br>Mobile Crane Operators must hold a valid <strong>Saudi Aramco Certification</strong>.<br>Relevant experience of <strong>3–6 years (Forklift)</strong> and <strong>3–5 years (Mobile Crane)</strong> is mandatory</p><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Saudi Aramco Certified (Mandatory).</p></li><li><p><strong>Forklift Operators:</strong> Must hold a valid <strong>Energy Tech / NITI (Formerly SPSP)</strong> certification.</p></li><li><p>Minimum <strong>3–6 years</strong> of relevant experience for Forklift Operators.</p></li><li><p>Minimum <strong>3–5 years</strong> of relevant experience for Mobile Crane Operators.</p></li><li><p>Proven experience operating <strong>10T Forklifts</strong> or <strong>50T/55T Mobile Cranes</strong>.</p></li><li><p>Valid transferable Iqama (for candidates currently in Saudi Arabia).</p></li><li><p>Good knowledge of HSE standards and lifting operations.</p></li><li><p>Physically fit and able to work in industrial project environments.</p></li><li><p>Immediate joiners will be preferred.</p></li></ol>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">CFO (Chief Financial Officer)<br> Riyadh | Fintech / Financing Startup<p></p> <p> </p> <p>We re not looking for a traditional CFO.<br> We re looking for a builder, strategist, and operator who can own the financial engine of a high-growth financing startup.</p> <p> </p> <p>This role is about scaling, structuring, and unlocking growth not just reporting numbers.</p> <p> </p> <p>What You ll Own:<br> Build and lead the full finance function (FP&amp;A, treasury, accounting, reporting)<br> Drive financial strategy, forecasting, and scenario planning<br> Optimize unit economics, pricing models, and profitability<br> Lead fundraising, investor relations, and debt structuring<br> Manage cash flow, liquidity, and capital efficiency<br> Ensure compliance with SAMA and financial regulations<br> Partner with the CEO and COO to scale the business sustainably</p> <p> </p> <p>What We re Looking For:<br> Proven experience in fintech, financing, banking, or high-growth startups<br> Strong background in fundraising, debt financing, or structured finance<br> Deep understanding of lending economics, risk, and portfolio management<br> Hands-on, analytical, and execution-driven<br> Ability to operate in ambiguity and move fast<br> Builder mindset comfortable creating systems from scratch</p> <p> </p> <p>Why This Role:<br> Shape the financial future of a scaling fintech<br> High ownership and direct impact on growth<br> Competitive package + upside (equity potential)<br> Work closely with founders and investors</p> <div> <div></div></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><strong>Role Purpose</strong></p><p>The MPD Engineer will be responsible for supporting Managed Pressure Drilling operations, monitoring pressure control systems, optimising drilling performance, and ensuring safe operational execution throughout the drilling programme.</p><p><strong>Key Responsibilities</strong></p><ul><li>Support onshore MPD operations in accordance with approved procedures</li><li>Monitor and optimise pressure management systems</li><li>Support drilling teams during HPHT operations</li><li>Analyse drilling performance and operational data</li><li>Ensure compliance with HSE and well control requirements</li><li>Provide technical support during drilling operations</li><li>Maintain accurate operational reporting and documentation</li></ul><p><strong>Technical Project Context</strong></p><ul><li>Operation Type: Managed Pressure Drilling (MPD)</li><li>Environment: Onshore</li><li>Well Type: HPHT Development Wells</li><li>Scope: Development drilling operations</li><li>Focus: Pressure management, drilling optimisation, and well control</li></ul><p><strong>Essential Experience</strong></p><ul><li>Minimum 5 years experience as an MPD Engineer</li><li>Strong MPD operational and engineering background</li><li>Experience working on HPHT wells</li><li>Previous Weatherford MPD experience</li><li>Strong understanding of drilling and pressure management systems</li></ul><p><strong>Preferred / Advantageous Background</strong></p><ul><li>Experience supporting major operator drilling campaigns</li><li>Strong analytical and troubleshooting skills</li><li>Experience working in technically demanding drilling environments</li><li>Ability to mobilise immediately</li></ul><p><strong>Certifications (Mandatory)</strong></p><ul><li>All relevant MPD certifications current and in date</li><li>Well Control Certification</li><li>Valid Medical Certification</li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><u><b>Requirements &amp; Summary</b></u></p><p>Company : Performance Energy</p><p>Skills : Drilling Manager</p><p>Experience : 5 + Years</p><p>Education : High School/Secondary</p><p>Employment Type : Rotational Contractor</p><p>Location : Saudi Arabia, Saudi Arabia</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Prepares, primes, sands, seals, patches and paints furniture, surfaces, buildings, and fixtures utilizing all types of painting materials such as varnish, lacquer, shellac, enamel, latex, epoxy, waterproofing and heat resistant finishes. Clean machines, related equipment, and work areas, using water, solvents, and other cleaning aids. Turn dials, hand wheels, valves, or switches to regulate conveyor speeds, machine temperature, air pressure and circulation, and the flow or spray of coatings or paints. Determine paint flow, viscosity, and coating</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Studies blueprints, sketches, drawings, manuals, specifications, or sample part to determine dimensions and tolerances of finished workpiece, sequence of operations, and setup requirements. Measures, marks, and scribes dimensions and reference points on material or workpiece as guides for subsequent machining as necessary. Selects, aligns, and secures holding fixtures, cutting tools, attachments, accessories and materials on machines as necessary to machine parts as required. Calculates and sets controls to regulate machining factors such as speed, feed, coolant flow.</p></div></section>

Saher Flow Solutions is seeking a skilled and dependable Electrical/Mechanical Technician to support fabrication, assembly, testing, maintenance, and troubleshooting activities. The candidate will work with workshop and laboratory equipment, electrical and mechanical systems, CNC parts, and various engineering tools.<br>Key Responsibilities<br><br> Support fabrication and assembly of metallic and non-metallic components. Assist with CNC machine parts sourcing and manufacturing requirements. Assemble, test, troubleshoot, and maintain electrical and mechanical systems. Perform equipment maintenance, testing, and maintain related records. Operate workshop tools and equipment safely and efficiently. Support pipe fitting, hydrostatic pressure testing, and equipment servicing. Coordinate with suppliers and contractors for equipment repair and servicing. Maintain asset and tool records, including tagging and movement tracking. Ensure compliance with health, safety, and workshop standards.<br><br>Requirements<br><br>DAE/Diploma in Electrical, Mechanical, or relevant Engineering field. Practical experience in fabrication, assembly, and maintenance activities. Good knowledge of power tools, lathe machines, laser cutters, grinders, and drilling machines. Knowledge of pipe fitting and hydrostatic pressure testing. Experience operating engineering workshop equipment. Ability to troubleshoot electrical and mechanical equipment. Forklift operation experience is an advantage. Experience with 3D printers is a plus. Good teamwork, communication, and multitasking skills.

<p>Role Overview As an AI Architecture Manager , you will lead the design and evolution of enterprise AI platforms and architecture frameworks that enable scalable adoption of Artificial Intelligence across the organization. You will define the target-state AI architecture, evaluate emerging technologies, and establish secure, governed, and high-performing AI foundations that support Generative AI, Large Language Models (LLMs), and advanced AI workloads. Working closely with business and technology stakeholders, you will drive the implementation of enterprise AI capabilities that accelerate innovation while ensuring operational excellence and responsible AI practices. Key Responsibilities Design and evolve enterprise AI architecture frameworks, including Generative AI, Large Language Models (LLMs), and multi-modal AI solutions. Define target-state AI platform architectures and develop implementation roadmaps that support enterprise-wide AI adoption and scalability. Evaluate emerging AI technologies, platforms, and architectural patterns, providing recommendations on technology selection and investment decisions. Design and operationalize end-to-end AI foundations that support model development, deployment, monitoring, governance, and lifecycle management. Assess and integrate technologies across data platforms, AI/ML ecosystems, cloud infrastructure, security controls, and governance frameworks. Architect and develop custom platform components that address enterprise AI scalability, performance, and operational requirements. Optimize compute infrastructure and model-serving environments to improve performance, availability, observability, and cost efficiency. Establish AI platform standards, architectural principles, and best practices that support secure and scalable AI delivery. Implement Responsible AI, security, compliance, risk management, and governance controls across AI platforms and solutions. Collaborate with engineering, data, security, and business teams to ensure AI architecture aligns with enterprise objectives and regulatory requirements. Provide technical leadership and guidance throughout AI transformation and modernization initiatives.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>10-12 years of experience in AI Architecture, Enterprise Architecture, Cloud Architecture, Data Platforms, or related technology leadership roles.</li><li>Proven experience designing and implementing enterprise-scale AI and Machine Learning platforms.</li><li>Strong understanding of Generative AI, Large Language Models (LLMs), multi-modal AI models, and modern AI architecture patterns.</li><li>Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Expertise in MLOps, AI platform engineering, model deployment, monitoring, and AI operations.</li><li>Experience designing governance, security, compliance, and Responsible AI frameworks for enterprise solutions.</li><li>Strong understanding of distributed systems, cloud-native architectures, and scalable infrastructure design.</li><li>Experience leading architecture decisions and influencing technology strategy across cross-functional teams.</li><li>Experience building enterprise AI foundations, AI Centers of Excellence (CoE), or large-scale AI transformation programs.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, AI agents, orchestration frameworks, and advanced AI platform architectures.</li><li>Experience with Kubernetes, containerization, distributed computing, and high-performance AI infrastructure.</li><li>Expertise in AI observability, model performance optimization, platform reliability, and cost management.</li><li>Strong stakeholder management, consulting, and executive communication skills.</li><li>Relevant certifications in Cloud Architecture, Artificial Intelligence, Machine Learning, or Enterprise Architecture are preferred.</li></ul>