Machine operator Jobs 2026 | Latest Tanqeeb Jobs

0 to 0 years Naukri Gulf

MEP Manager

On-site - Saudi - Saudi Arabia 1 June 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"><div> <div> <div> Key Responsibilities </div> </div> <div> <div> <ul> <li> Manage and coordinate all activities related to hospitality and residential construction projects. </li> <li> Coordinate with consultants, operators, designers, subcontractors, suppliers, and stakeholders. </li> <li> Ensure compliance with project specifications, international hospitality standards, and Saudi regulations. </li> <li> Monitor quality control, safety implementation, productivity, and project schedules. </li> <li> Support procurement, planning, engineering, testing, commissioning, and handover activities. </li> <li> Ensure all works are executed according to approved drawings, method statements, and project requirements. </li> <li> Participate in progress meetings, technical reviews, and project reporting activities. </li> <li> Support successful project delivery within approved budgets and timelines. </li> <li> Coordinate hotel MEP systems including HVAC, fire alarm, BMS, ELV, plumbing, and life safety systems. </li> <li> Support testing, commissioning, authority approvals, and operator inspections. </li> </ul> </div> </div> <div> <div> Key Requirements </div> </div> <div> <div> <ul> <li> Minimum 15+ years of experience in construction and project management. </li> <li> Bachelor s Degree in Engineering or related discipline. </li> <li> Strong hospitality project experience including hotels, resorts, branded residences, and luxury developments. </li> <li> Previous experience in Saudi Arabia or GCC countries is mandatory. </li> <li> Strong understanding of hospitality quality standards, luxury finishing requirements, and operator coordination. </li> <li> Knowledge of construction sequencing, procurement, planning, and HSE standards. </li> <li> Excellent communication, leadership, coordination, and reporting skills. </li> <li> Experience working with international consultants, operators, and developers preferred. </li> </ul> </div> </div> <div> <div> </div> </div> <div> <div> </div> </div> <div> <div> </div> </div></div></div></section><section>Desired Candidate Profile </section>

0 to 0 years Naukri Gulf

Director of Marketing & Brand

On-site - Saudi - Riyadh 17 July 2026

Sales

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"> Role Overview : To lead the day-to-day performance of the marketing organization across brand, campaigns, content, creative execution, reporting, and team management. The candidate is expected to turn strategy into action, keep teams focused on the right priorities, maintain a high standard across every output, and ensure work is delivered on brief, on time, and with measurable impact. The most important outcome of this role is to move the marketing organization to become consistently proactive. The successful candidate will actively identify cultural moments, audience opportunities, partnerships, unconventional activations, and guerrilla marketing ideas that keep webook.com visible, relevant, and ahead of the market. This is a hands-on leadership role for someone who can manage the machine while continuously finding ways to make it more creative, faster, and more effective.Key Responsibilities: Own the day-to-day operation of the marketing organization, translating strategy into clear priorities, plans, timelines, and accountable owners. Lead campaign and content execution, ensuring work is delivered on brief, on time, within budget, and to the expected standard. Build a proactive pipeline of creative marketing ideas, cultural opportunities, guerrilla activations, partnerships, and brand moments. Act as the first line of leadership for the team, resolving delivery, performance, and operational issues before they escalate. Maintain brand consistency and creative quality across campaigns, content, social media, partnerships, PR, and customer communications. Own marketing reporting and performance visibility, providing clear insights, risks, recommendations, and actions without requiring follow-up. Manage senior team members, agencies, and external partners, holding them accountable for performance, quality, and delivery. Work closely with commercial, product, technology, partnerships, and regional teams to ensure marketing supports growth across KSA and international markets.</div></section><section>Desired Candidate ProfileBachelor s degree in Marketing Director-level marketing leader with experience in a high-growth consumer, technology, entertainment, sports, media, or platform business. Proven ability to lead multidisciplinary teams and manage through senior managers. Strong track record in integrated campaigns, content, brand, social media, partnerships, PR, and experiential marketing. Highly creative, with the ability to develop unconventional, culturally relevant, and guerrilla-style marketing ideas. Commercially and analytically strong, with confidence in budgets, reporting, performance metrics, and marketing effectiveness. A hands-on operator who creates clarity, maintains momentum, and ensures work is completed to a high standard. Proactive and decisive, bringing solutions rather than escalating problems unnecessarily. Able to challenge constructively, make difficult decisions, and balance creative ambition with operational reality. Fluent in English, with Arabic strongly preferred.</section>

0 to 0 years Bayt

AI Performance Engineer

On-site - Saudi - Riyadh 7 May 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company:Qualcomm Middle East Information Technology Company LLC Job Area:Engineering Group, Engineering Group > Systems Engineering General Summary: About us Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region. As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond. Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team.  This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.  This role involves the following activities:  <ul><li>Convert, optimize and deploy models for efficient inference using PyTorch, ONNX. </li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities. </li><li>Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints. </li><li>Mapping the next generation AI workloads on top of current and future hardware designs. </li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams. </li><li>Analyze complex performance or stability issues to work towards final root cause of underlying problems. </li><li>Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time. </li><li>Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code. </li></ul> You will demonstrate the following:  <ul><li>Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments. </li><li>Deep understanding of transformer architectures, attention mechanisms and performance trade-offs. </li><li>Experience in workload mapping strategies exhibiting sharding or various parallelisms. </li><li>Strong Python programming skills. </li><li>Proactive learning about the latest inference optimization techniques. </li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems. </li><li>Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment. </li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering. </li></ul> Bonus Skills:  <ul><li>Background in neural network operators and mathematical operations, including linear algebra and math libraries. </li><li>Understanding of machine learning compilers. </li><li>Experience in converging accuracy and its evaluation methods. </li><li>Knowledge of torch.compile or torchDynamo. </li><li>PhD in Computer Science, Computer Engineering or Machine Learning </li></ul> What's on Offer Apart from working with great people, we offer the below: <ul><li>Salary including housing & 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: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. 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. 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). 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><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"> Years of experience </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"> Degree </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Full Time 0 to 0 years LinkedIn

Construction Manager

On-site - Saudi - 'Asir 27 July 2026

Engineering

The Construction Manager is responsible for leading and managing all on-site construction activities for hospitality developments, including hotels, resorts, branded residences, and hospitality refurbishment projects. The role ensures successful project delivery in accordance with approved quality standards, budget, schedule, brand requirements, and operational objectives. The Construction Manager will coordinate closely with the Client, Hotel Operator, Design Consultants, Contractors, and Project Management Team to ensure seamless execution from construction through commissioning, handover, and operational readiness. Key Responsibilities Construction Management Lead all construction activities from mobilization through practical completion and final handover. Monitor project progress against approved schedules and implement recovery plans where required. Ensure construction works comply with approved drawings, specifications, hotel brand standards, and local regulations. Manage contractors, subcontractors, consultants, and specialist vendors throughout project execution. Coordinate construction sequencing to achieve milestone and opening-date commitments. Hospitality Fit-Out & Finishes Oversee execution of guest rooms, suites, public areas, restaurants, lounges, banquet facilities, spa, wellness, and back-of-house spaces. Ensure luxury finishes and workmanship meet hospitality quality standards. Coordinate installation of FF&E (Furniture, Fixtures & Equipment) and OS&E requirements. Monitor mock-up rooms and sample approvals to ensure consistency throughout the project. Review and manage snagging and de-snagging activities. MEP & Systems Coordination Coordinate MEP works including HVAC, electrical, plumbing, fire protection, ELV, security, and BMS systems. Ensure integration and testing of hotel operational systems. Manage testing, commissioning, and operator acceptance processes. Coordinate utility connections and authority approvals. Quality Management Implement project quality management procedures and inspection plans. Conduct regular site inspections and quality audits. Monitor contractor compliance with approved quality standards. Resolve quality issues and manage corrective action plans. Health, Safety & Environment (HSE) Ensure compliance with all project HSE policies and procedures. Promote a proactive safety culture across the project. Participate in safety inspections, audits, and incident investigations. Monitor contractor safety performance and corrective actions. Stakeholder & Operator Coordination Liaise with hotel operators, brand representatives, consultants, and contractors. Coordinate operator reviews and approvals during construction and commissioning stages. Facilitate stakeholder meetings and manage action items. Ensure operational requirements are incorporated into project delivery. Testing, Commissioning & Handover Lead testing and commissioning activities. Coordinate integrated systems testing and operational readiness activities. Manage handover documentation, training, warranties, and O&M manuals. Support project closeout and transition to operations teams. Reporting Prepare weekly and monthly construction progress reports. Monitor project risks and mitigation plans. Report on schedule, quality, safety, and budget performance. Escalate critical issues impacting project delivery. Qualifications Bachelor's Degree in Civil Engineering, Construction Management, or related discipline. Professional certifications such as PMP, CCM, MRICS, or equivalent are advantageous. Experience Minimum 12–15 years of construction management experience. At least 5 years of experience delivering hospitality projects such as luxury hotels, resorts, branded residences, or hotel refurbishments. Previous PMC experience is highly preferred. Experience working with international hotel operators and hospitality brands. Strong understanding of FF&E, OS&E, luxury fit-out, and hospitality operational requirements.

Full Time 0 to 0 years LinkedIn

Project HSE Officer

On-site - Saudi - 'Asir 1 July 2026

Engineering

Job Responsibilities Responsible for daily EHS management on the project site, supervising site activities, equipment operation, and implementation of safety measures to ensure compliance with client and project safety requirements. Assist in reviewing, collecting, and managing operator qualification documents, including:Operation permit Iqama / valid local work or residence document Operator training certificate Company internal training certificate, if accepted by the client Coordinate and manage third-party equipment certification documents to ensure that equipment entry and on-site operation comply with project EHS requirements. Act as the site safety contact person and communicate with the client’s EHS department for daily coordination, safety inspections, document submission, corrective actions, and other site-related matters. Supervise the proper use of PPE by site personnel and ensure that all work is carried out in accordance with safety standards. Assist in organizing site safety training, toolbox meetings, safety briefings, and maintaining related records. Conduct regular site safety inspections, identify potential safety risks, promote corrective actions, and follow up until closure. Assist in handling safety incidents, near misses, and emergency situations, including reporting, record keeping, and corrective action follow-up. Requirements Relevant experience in EHS, safety management, construction site management, or related roles. Familiar with project site safety management processes, including work permits, personnel qualification review, equipment certification, and PPE management. Able to review and organize site documents such as operation permits, Iqama, operator training certificates, and third-party equipment certification documents. Strong on-site communication and coordination skills, with the ability to communicate effectively with the client’s EHS department, operators, third-party service providers, and internal teams. Good English communication skills for site coordination, document submission, and meeting communication. Strong sense of responsibility, safety awareness, and ability to follow up on issues until closure. Able to adapt to project site working environments. Experience in overseas projects, Middle East projects, solar PV, power, EPC, or engineering equipment site safety management is preferred. Experience working with multinational site teams is preferred. NEBOSH, IOSH, OSHA, or other safety-related certificates are preferred. Candidates with more than 5 years of safety management experience are preferred.

0 to 0 years Bayt

Leasing & Tenant Relations Manager Film Studios

On-site - Saudi 22 May 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Purpose Manage leasing coordination and tenant relationship activities across the Film Studio asset, ensuring effective onboarding, occupancy management, tenant retention, and operational readiness to support commercial performance and long-term occupier satisfaction. The role combines leasing coordination with proactive occupier and operator servicing within a specialized studio environment. Key Responsibilities Support implementation of leasing and occupancy strategies across the Film Studio asset. Coordinate tenant and operator onboarding, move-in readiness, service activation, and operational integration. Act as the primary operational contact for tenants, operators, and commercial occupants across onboarding and occupancy stages. Manage tenant communication, issue resolution, and relationship management activities to support long-term retention and satisfaction. Coordinate lease administration, occupier documentation, and onboarding requirements in line with approved processes. Monitor occupancy utilization, tenant operational requirements, and service readiness across occupied spaces. Support tenant retention initiatives, renewals planning, and service quality improvement activities. Coordinate operational support with Finance, Operations, HSE, IT, and Corporate Enablement teams to resolve tenant-facing issues efficiently. Track tenant requests, escalations, action logs, and operational follow-ups through to closure. Support implementation of approved pricing, leasing frameworks, and commercial terms where required. Conduct tenant satisfaction follow-ups and identify service improvement opportunities. Monitor tenant compliance with operational, contractual, access, and HSE requirements. Prepare occupancy reports, tenant updates, onboarding trackers, and operational dashboards. Support leasing negotiations and commercial discussions where required. Coordinate activation readiness for new tenants, operators, and strategic partnerships prior to go-live. KPIs Occupancy rate Tenant retention rate Tenant satisfaction score Tenant onboarding cycle time Number of unresolved tenant escalations Lease renewal rate Operational readiness timelines Bachelor’s degree in Business Administration, Real Estate, Hospitality, Property Management, or related field. 5–7 years of experience in leasing, tenant relations, property management, hospitality operations, or commercial asset management. Experience within mixed-use, entertainment, hospitality, operational, or specialized commercial assets preferred. Experience managing tenant-facing or operator-facing activities within commercial, hospitality, entertainment, or operational environments. Exposure to entertainment, creative, destination-based, or specialized asset environments preferred. Strong stakeholder and customer relationship management capability. Understanding of leasing operations, occupier onboarding, and occupancy management. Ability to coordinate cross-functional operational requirements and service activation activities. Strong issue resolution, follow-up discipline, and communication capability. Key Competencies Tenant relationship management Leasing operations Stakeholder coordination Customer service Commercial operations Communication skills Problem solving </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"> Years of experience </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"> Degree </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Full Time 0 to 0 years LinkedIn

Delivery Project Head

On-site - Saudi - Al Madinah 30 June 2026

Engineering

Lead the full life cycle delivery of hospitality developments (hotels, resorts, branded residences) from feasibility and concept design through procurement, construction, commissioning, operator handover, and opening. Key Responsibilities Lead project strategy, design management, procurement, construction, testing & commissioning, and operational handover. Coordinate owners, operators, consultants, contractors, and authorities. Ensure delivery to approved scope, budget, schedule, quality, HSE, and brand standards. Manage project controls, contracts (FIDIC), risk, change management, and reporting. Oversee mock-ups, FF&E coordination, snagging, commissioning, and soft opening readiness. Drive stakeholder decisions and resolve commercial and technical issues. Requirements Bachelor’s degree in Civil Engineering, Architecture, or related field.20+ years of project delivery experience, with 10+ years in hospitality projects. Proven delivery of full life cycle hotel/resort projects in KSA/GCC. Strong experience with hotel operators, branded standards, FF&E, and commissioning. Expertise in FIDIC contracts, Primavera P6, project controls, and stakeholder management. PMP/Chartered certification preferred.

Full Time 0 to 0 years LinkedIn

Head of Hospitality (Vice President)

On-site - Saudi - Jeddah 24 June 2026

Other

Head of Hospitality (Vice President) About the Company A leading confidential semi-government organization in Saudi Arabia is seeking an accomplished hospitality executive to lead the development, growth, and operational excellence of its hospitality portfolio. The role will oversee hospitality investments, hotel developments, strategic partnerships, asset performance, and hospitality operations in alignment with Saudi Vision 2030. Position Summary The Head of Hospitality (Vice President) will be responsible for defining and executing the organization's hospitality strategy across hotels, resorts, serviced residences, and mixed-use developments. The role will lead the full hospitality lifecycle including investment planning, feasibility studies, development, brand partnerships, asset management, pre-opening activities, operational oversight, and portfolio expansion. The successful candidate will drive sustainable growth, maximize asset value, establish strategic alliances with international hospitality operators, and ensure the delivery of world-class guest experiences while achieving financial and operational objectives. Key Responsibilities Strategic Leadership Develop and execute the organization's hospitality growth strategy and long-term business plans. Identify investment opportunities and lead market expansion initiatives across Saudi Arabia and selected regional markets. Align hospitality developments with corporate objectives and Vision 2030 initiatives. Advise executive leadership and board committees on hospitality investment and development opportunities. Hospitality Development & Projects Lead the planning, feasibility, and development of hospitality projects including hotels, resorts, serviced apartments, and mixed-use destinations. Oversee master planning, concept development, design coordination, operator selection, and project delivery. Ensure projects are delivered on time, within budget, and according to international hospitality standards. Manage pre-opening activities and readiness programs for new hospitality assets. Asset Management & Portfolio Performance Oversee the performance of hospitality assets and maximize portfolio value. Monitor financial performance including EBITDA, GOP, NOI, Rev PAR, ADR, occupancy, and profitability targets. Lead asset repositioning initiatives and value enhancement programs. Establish governance frameworks, performance management systems, and operational KPIs. Brand & Operator Management Lead negotiations with international hotel operators and hospitality brands. Structure and manage Hotel Management Agreements, Franchise Agreements, and related commercial arrangements. Evaluate operator performance and ensure compliance with contractual obligations and brand standards. Build strategic relationships with global hospitality brands and industry stakeholders. Commercial & Business Development Identify and secure new hospitality opportunities, partnerships, and strategic alliances. Lead feasibility assessments, investment evaluations, and business case development. Drive revenue optimization strategies and enhance commercial performance across the portfolio. Support fundraising, investment attraction, and hospitality-related transactions where applicable. Operational Excellence Ensure operational excellence across hospitality assets through best-in-class standards and service delivery. Lead transformation initiatives focused on guest experience, operational efficiency, sustainability, and digital innovation. Establish performance improvement programs to optimize costs and enhance profitability. Promote a culture of service excellence and continuous improvement. Leadership & Governance Lead multidisciplinary teams across development, operations, finance, asset management, and project delivery. Build organizational capabilities and succession pipelines within the hospitality function. Ensure compliance with corporate governance, risk management, regulatory requirements, and ESG principles. Qualifications & Experience Bachelor's degree in Hospitality Management, Business Administration, Real Estate, Engineering, Finance, or related field. MBA or relevant postgraduate qualification preferred. Minimum 20 years of progressive experience in hospitality development, hotel operations, asset management, hospitality investments, or real estate development. Proven experience managing large-scale hospitality portfolios, luxury hotels, resorts, or mixed-use developments. Demonstrated success in hospitality project development, pre-opening, operator negotiations, and asset optimization. Strong understanding of hospitality financial metrics including EBITDA, GOP, NOI, Rev PAR, ADR, and Occupancy. Experience working with international hospitality brands such as Marriott, Hilton, Hyatt, IHG, Accor, Radisson, Rotana, or equivalent. Strong commercial, financial, and stakeholder management capabilities. GCC experience is highly preferred. Key Competencies Strategic Leadership Hospitality Development & Delivery Asset Management Hotel Operations Investment & Feasibility Analysis Project Portfolio Management Business Development Stakeholder Management Contract Negotiation Financial & Commercial Acumen Pre-Opening & Brand Implementation Governance & Risk Management Team Leadership & Organizational Development Reporting Line Reports directly to the Chief Executive Officer (CEO) and works closely with the Executive Committee, Board Committees, Investors, Hospitality Operators, and Strategic Partners.

Full Time 0 to 0 years LinkedIn

Senior Manager Asset Management

On-site - Saudi - Tabuk 28 June 2026

Healthcare & Medical

Job Purpose The position is responsible for overseeing the strategic, operational, and financial performance of a portfolio of civic assets, which may include hospitals, schools, and other community-serving facilities. This role bridges asset operations and investment management, ensuring that all facilities deliver high standards of service, operational efficiency, regulatory compliance, and sustainable financial performance. The role ensures assets are effectively maintained, operated, and optimized to support community needs while delivering long-term value for the asset owner. Job Responsibilities Oversee the operational and financial performance of a portfolio of civic assets, with a key focus on healthcare & education Monitor asset performance indicators such as occupancy/utilization levels, service delivery standards, operational efficiency, lifecycle costs and operator performance. Develop and execute annual asset management and business plans aligned with ownership objectives. Conduct regular performance reviews with facility operators. Ensure assets are maintained in accordance with contractual requirements, regulatory standards, and operational best practices. Policies, Systems, Processes, Procedures, Standards and Reports Oversee the smooth handover of new assets from the project delivery team into operational management. Verify and secure all required documentation, warranties, asset registers, and maintenance plans during handover. Manage outsourced operations contracts, ensuring operators deliver services as per agreed KPIs, SLAs, and performance standards. Review operator reports, track performance, and ensure timely rectification of operational and maintenance issues. Prepare and manage annual operations and maintenance (O&M) budgets, including monitoring expenditures and approving invoices. Implement and maintain asset management policies, systems, processes, and standards across the civic asset portfolio. Ensure operators operate in line with approved procedures and reporting frameworks including all necessary authority requirements Maintain accurate asset data, lifecycle records, and performance reports to support asset management decision-making. Act as the main point of contact between operators, and internal stakeholders. Provide regular updates to senior leadership on asset performance, risks, lifecycle planning, and financial status. Safety, Quality & Environment Ensure all operators comply with company policies, health & safety standards, and regulatory requirements. Monitor compliance with applicable healthcare, education, and public safety regulations where relevant Review audit findings and implement corrective actions with contractors. Continuous Improvement Recommend improvements in asset management practices, maintenance strategies, contractor performance, and cost efficiency. Identify opportunities to optimize asset utilization, reliability, and lifecycle performance. Support adoption of asset management best practices (aligned to ISO 55000 where applicable). Job Stakeholders (Relationship) Internal Executive Leadership / Senior Management Project Delivery / Construction Teams Finance Department Procurement / Contracts Team Operations & Maintenance Support Teams Planning & Strategy Teams External Facility Operators Outsourced Maintenance Contractors / Service Providers PPP Operators / Concessionaires Regulatory Authorities / Government Agencies Local Municipalities / Utility Providers Consultants / Auditors End Users / Community Stakeholders Job Requirements Qualification and Experience Bachelor’s degree in Engineering, Facilities/Asset Management, or related field.10+ years of experience in infrastructure operations, contract management, or asset management. Experience managing civic, healthcare, education, or public sector assets is preferred. Skills Strong skills in vendor and contractor management, budgeting, and performance monitoring. Knowledge of lifecycle asset management principles. Excellent communication and stakeholder management skills. Job Context Requires a team player attitude and the flexibility to provide assistance where needed Robust and articulate communication skills, both verbal and written Sensitivity to and respect for the confidential nature of the subject matter of the job and the department Commitment to high standards of excellence and possess an uncompromising level of personal integrity High energy, charisma, team oriented, strong work ethic, problem-solving capabilities and follow through Requires excellent interpersonal skills and a high level of professionalism

Full Time 0 to 0 years LinkedIn

Partnerships Manager

On-site - Saudi - Jeddah Thursday

Information Technology

Partner Manager – Satellite Communications A leading regional satellite operator is looking for a Partner Manager to own and grow its network of resellers, distributors, system integrators, teleport operators and regional telcos across the GCC and expansion markets. The role:Manage and develop existing partner relationships while identifying and onboarding new partners in target growth markets Drive partner enablement, onboarding, and ongoing pipeline management Build deep market and partner-specific knowledge (e.g. understanding which partners carry strength in which verticals and geographies) Report on partner pipeline performance and act as the internal link between partners and the wider commercial team Longer term, build and lead a small team as the partner function grows What we're looking for:Proven experience in partner or channel management within satellite, telecom, or a closely related technology sector Fluent in both Arabic and English Strong regional market knowledge across GCC (Africa/Asia experience a plus) Comfortable working with a mix of partner types: resellers, distributors, SIs, teleport operators, telcos Based in or willing to relocate to Riyadh

Full Time 0 to 0 years LinkedIn

Senior Manager Asset Management

On-site - Saudi - Tabuk Yesterday

Healthcare & Medical

Be the change. Join the world’s most visionary developer. Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel. We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism. Join RSG and be part of the positive change for Saudi Arabia and the world. Job Purpose The position is responsible for overseeing the strategic, operational, and financial performance of a portfolio of civic assets, which may include hospitals, schools, and other community-serving facilities. This role bridges asset operations and investment management, ensuring that all facilities deliver high standards of service, operational efficiency, regulatory compliance, and sustainable financial performance. The role ensures assets are effectively maintained, operated, and optimized to support community needs while delivering long-term value for the asset owner. Job Responsibilities Oversee the operational and financial performance of a portfolio of civic assets, with a key focus on healthcare & education Monitor asset performance indicators such as occupancy/utilization levels, service delivery standards, operational efficiency, lifecycle costs and operator performance. Develop and execute annual asset management and business plans aligned with ownership objectives. Conduct regular performance reviews with facility operators. Ensure assets are maintained in accordance with contractual requirements, regulatory standards, and operational best practices. Policies, Systems, Processes, Procedures, Standards and Reports Oversee the smooth handover of new assets from the project delivery team into operational management. Verify and secure all required documentation, warranties, asset registers, and maintenance plans during handover. Manage outsourced operations contracts, ensuring operators deliver services as per agreed KPIs, SLAs, and performance standards. Review operator reports, track performance, and ensure timely rectification of operational and maintenance issues. Prepare and manage annual operations and maintenance (O&M) budgets, including monitoring expenditures and approving invoices. Implement and maintain asset management policies, systems, processes, and standards across the civic asset portfolio. Ensure operators operate in line with approved procedures and reporting frameworks including all necessary authority requirements Maintain accurate asset data, lifecycle records, and performance reports to support asset management decision-making. Act as the main point of contact between operators, and internal stakeholders. Provide regular updates to senior leadership on asset performance, risks, lifecycle planning, and financial status. Safety, Quality & Environment Ensure all operators comply with company policies, health & safety standards, and regulatory requirements. Monitor compliance with applicable healthcare, education, and public safety regulations where relevant Review audit findings and implement corrective actions with contractors. Continuous Improvement Recommend improvements in asset management practices, maintenance strategies, contractor performance, and cost efficiency. Identify opportunities to optimize asset utilization, reliability, and lifecycle performance. Support adoption of asset management best practices (aligned to ISO 55000 where applicable). Job Stakeholders (Relationship) Internal Executive Leadership / Senior Management Project Delivery / Construction Teams Finance Department Procurement / Contracts Team Operations & Maintenance Support Teams Planning & Strategy Teams External Facility Operators Outsourced Maintenance Contractors / Service Providers PPP Operators / Concessionaires Regulatory Authorities / Government Agencies Local Municipalities / Utility Providers Consultants / Auditors End Users / Community Stakeholders Job Requirements Qualification and Experience Bachelor’s degree in Engineering, Facilities/Asset Management, or related field.10+ years of experience in infrastructure operations, contract management, or asset management. Experience managing civic, healthcare, education, or public sector assets is preferred. Skills Strong skills in vendor and contractor management, budgeting, and performance monitoring. Knowledge of lifecycle asset management principles. Excellent communication and stakeholder management skills. Job Context Requires a team player attitude and the flexibility to provide assistance where needed Robust and articulate communication skills, both verbal and written Sensitivity to and respect for the confidential nature of the subject matter of the job and the department Commitment to high standards of excellence and possess an uncompromising level of personal integrity High energy, charisma, team oriented, strong work ethic, problem-solving capabilities and follow through Requires excellent interpersonal skills and a high level of professionalism

Full Time 0 to 0 years LinkedIn

Senior Manager Asset Management

On-site - Saudi - Tabuk 29 June 2026

Healthcare & Medical

Full Time 0 to 0 years Naukri Gulf

Service Engineer

On-site - Saudi - Eastern Province 30 June 2026

Logistics, Supply Chain & Procurement

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"><ul><li>Diagnose and repair complex mechanical, electrical, and hydraulic issues on CNC metal cutting machine tools, ensuring minimal downtime for clients.</li><li>Perform preventative maintenance and scheduled servicing to maximize machine performance and longevity.</li><li>Install, commission, and start-up new machine tools at customer sites, ensuring proper integration and initial operation.</li><li>Provide on-site and remote technical support, troubleshooting issues and guiding customers through solutions.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Possess a Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related technical field.</li><li>Hold relevant certifications in CNC machine repair, specific machine tool brands (e.g., Fanuc, Siemens), or industrial automation.</li><li>Demonstrate 5+ years of hands-on experience servicing CNC machining centers, lathes, mills, or grinding machines.</li><li>Proven expertise in diagnosing and repairing issues across mechanical, electrical, pneumatic, and hydraulic systems.</li></ul></section>

0 to 0 years Naukri Gulf

Senior AI Engineer (Arabic Speaker) Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI & Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps & AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud & Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering & Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence & Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents & Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring & Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers & DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</div></section><section>Desired Candidate ProfileBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.Minimum 3+ years of hands-on experience implementing Generative AI solutions.Proven experience building and operationalizing machine learning models in production environments.Strong experience implementing enterprise MLOps frameworks and practices.Experience working with cloud-native AI services and modern AI platforms.Native or Fluent Arabic Speaker.Strong Python programming skills.Experience deploying AI solutions in enterprise production environments.Willingness to work onsite in Riyadh, Saudi Arabia.Strong analytical and problem-solving skills.Excellent communication and stakeholder management abilities.Ability to work effectively in cross-functional and multicultural environments.Strong ownership, accountability, and leadership mindset.Passion for innovation and continuous learning.Ability to communicate fluently in both Arabic and English.</section>

0 to 0 years Naukri Gulf

Senior AI Engineer (Arabic Speaker) Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.Key ResponsibilitiesAI & Machine Learning Development<ul><li>Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul>Generative AI Engineering<ul><li>Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>Implement vector databases and semantic search solutions.</li><li>Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul>MLOps & AI Operations<ul><li>Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>Implement scalable AI platforms supporting multiple business units.</li></ul>Cloud & Platform Engineering<ul><li>Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>Manage containerized AI environments using Docker and Kubernetes.</li><li>Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>Optimize cloud resources, performance, and operational costs.</li></ul>Data Engineering & Integration<ul><li>Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul>Stakeholder Management<ul><li>Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>Mentor junior AI engineers, data scientists, and platform engineers.</li></ul>Required Technical SkillsArtificial Intelligence & Machine Learning<ul><li>Machine Learning</li><li>Deep Learning</li><li>Natural Language Processing (NLP)</li><li>Predictive Analytics</li><li>Computer Vision (preferred)</li><li>Reinforcement Learning (preferred)</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Prompt Engineering</li><li>AI Agents & Multi-Agent Systems</li><li>Fine-Tuning and Model Optimization</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul>MLOps<ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring & Observability</li><li>CI/CD for ML</li><li>Feature Stores</li><li>Model Registry</li><li>Experiment Tracking</li><li>Model Governance</li></ul>Cloud Platforms<ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul>PreferredContainers & DevOps<ul><li>Docker</li><li>Kubernetes</li><li>Git</li><li>GitHub Actions</li><li>Jenkins</li><li>Terraform</li><li>Infrastructure as Code</li></ul>Programming Languages<ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul>QualificationsBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.Experience Requirements<ul><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li></ul>Preferred Certifications<ul><li>Microsoft Azure AI Engineer Associate</li><li>AWS Machine Learning Specialty</li><li>Google Professional Machine Learning Engineer</li><li>OCI AI Foundations Associate</li><li>Kubernetes Certifications (CKA/CKAD)</li><li>Databricks Machine Learning Professional</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li></ul>Mandatory Requirements<ul><li>Native or Fluent Arabic Speaker.</li><li>6 – 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li><li>6 – 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>Proven experience building and operationalizing machine learning models in production environments.</li><li>Strong experience implementing enterprise MLOps frameworks and practices.</li><li>Experience working with cloud-native AI services and modern AI platforms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work effectively in cross-functional and multicultural environments.</li><li>Strong ownership, accountability, and leadership mindset.</li><li>Passion for innovation and continuous learning.</li><li>Ability to communicate fluently in both Arabic and English.</li><li>Native or Fluent Arabic Speaker.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></section>

Full Time 0 to 0 years LinkedIn

CNC Machinist

On-site - Saudi - Dhahran Wednesday

Manufacturing & Production

About Technogenia: Technogenia specializes in providing high-performance tungsten carbide-based anti-wear products & Services that help companies significantly reduce maintenance costs and extend the lifetime of their tools. With a global presence, we offer tailored solutions and technical support to meet customer needs worldwide. https://www.technogenia.com/en/home About the Role We are seeking an experienced CNC Machinist specialized in precision turning and threading for oil & gas products. You will machine critical components that often receive hardfacing or cladding, ensuring dimensional accuracy and high-quality threads according to oilfield standards. Key Responsibilities Set up, operate, and optimize CNC lathes for turning and precision threading operations Machine oil & gas components (tool joints, couplings, stabilizers, valves, etc.) Machine API, premium, and special threads with high accuracy or similar. Perform first-piece and in-process inspections using micrometers, thread gauges, and measuring instruments. Read and interpret complex technical drawings Create, modify, and optimize NC programs directly on the machine (Mazak / Fanuc, or equivalent) Select and change tools, adjust offsets, and ensure process stability Maintain machines and report any quality or equipment issues Work according to quality procedures and safety standards Requirements Solid experience as CNC Turning / Lathe Machinist, ideally in oil & gas or precision mechanical components Proven expertise in threading (API, premium connections, or similar) Ability to write and edit NC programs directly on the machine Good knowledge of CNC controls (Mazak, Fanuc / Siemens or equivalent) Ability to work to tight tolerances Experience with measuring instruments for threads and diameters Understanding of materials commonly used in oil & gas (carbon steel, non-magnetic steel, etc..) Fluent in English and able to communicate professionally in both writing and speaking. Why Join Technogenia? Be part of an industry-leading company with global reach. Work with a dedicated and experienced team in a growing market. Opportunity for professional development and career growth.

0 to 0 years Naukri Gulf

Senior AI Engineer Datamatics Technologies

On-site - Saudi - Riyadh 24 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">About the Role We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms , with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions. The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact. Key Responsibilities AI & Machine Learning Development Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases. Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions. Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies. Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. Evaluate and benchmark AI models to ensure performance, scalability, and reliability. Generative AI Engineering Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms. Develop conversational AI solutions, intelligent assistants, and knowledge management systems. Build prompt engineering frameworks and optimize prompts for business use cases. Implement vector databases and semantic search solutions. Develop AI agents and autonomous workflows using modern AI orchestration frameworks. MLOps & AI Operations Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Automate model deployment using CI/CD pipelines and infrastructure-as-code practices. Monitor model performance, drift detection, retraining strategies, and operational KPIs. Establish AI governance, model versioning, reproducibility, and compliance standards. Implement scalable AI platforms supporting multiple business units. Cloud & Platform Engineering Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI. Manage containerized AI environments using Docker and Kubernetes. Design scalable AI infrastructure supporting high-volume enterprise workloads. Optimize cloud resources, performance, and operational costs. Data Engineering & Integration Collaborate with data engineering teams to build AI-ready data pipelines. Integrate AI solutions with enterprise applications, APIs, databases, and business platforms. Ensure data quality, security, privacy, and compliance with organizational standards. Stakeholder Management Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions. Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences. Mentor junior AI engineers, data scientists, and platform engineers. Required Technical Skills Artificial Intelligence & Machine Learning Machine Learning Deep Learning Natural Language Processing (NLP) Predictive Analytics Computer Vision (preferred) Reinforcement Learning (preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents & Multi-Agent Systems Fine-Tuning and Model Optimization Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen MLOps MLflow Kubeflow Airflow Model Monitoring & Observability CI/CD for ML Feature Stores Model Registry Experiment Tracking Model Governance Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Preferred Containers & DevOps Docker Kubernetes Git GitHub Actions Jenkins Terraform Infrastructure as Code Programming Languages Python (Mandatory) SQL Bash/Shell Scripting Java or C# (Preferred) Qualifications Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline. Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred. Experience Requirements 6 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering. Minimum 3+ years of hands-on experience implementing Generative AI solutions. Proven experience building and operationalizing machine learning models in production environments. Strong experience implementing enterprise MLOps frameworks and practices. Experience working with cloud-native AI services and modern AI platforms. Preferred Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer OCI AI Foundations Associate Kubernetes Certifications (CKA/CKAD) Databricks Machine Learning Professional Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work effectively in cross-functional and multicultural environments. Strong ownership, accountability, and leadership mindset. Passion for innovation and continuous learning. Ability to communicate fluently in both Arabic and English. Mandatory Requirements Native or Fluent Arabic Speaker. 6 8 years of relevant AI/ML engineering experience. Hands-on expertise in Generative AI and MLOps. Strong Python programming skills. Experience deploying AI solutions in enterprise production environments. Willingness to work onsite in Riyadh, Saudi Arabia.</div></section><section>Desired Candidate Profile<ul><li>Native or Fluent Arabic Speaker.</li><li>6 8 years of relevant AI/ML engineering experience.</li><li>Hands-on expertise in Generative AI and MLOps.</li><li>Strong Python programming skills.</li><li>Experience deploying AI solutions in enterprise production environments.</li><li>Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul></section>

Contract 0 to 0 years Naukri Gulf

Senior Engineer

On-site - Saudi - Al Damam 15 May 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Position: Engineer / Sr. Engineer / Geologist / Operator / TechnicianLocation: Middle EastRequired Bachelor Degree / Diploma in Engineering with Min 7+ years of relevant experience in Mining, Fertiliser, Phosphate Industry.</div></section><section>Desired Candidate ProfileFertilizer, Phophate, Mining</section>

0 to 0 years Naukri Gulf

AI / ML Engineer

On-site - Saudi - Riyadh 13 July 2026

Engineering

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming & Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI & LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering & Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps & Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</div></section><section>Desired Candidate Profile<h2>Qualifications</h2>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.3 11 years of professional experience in AI, Machine Learning, or Data Science.Strong analytical, mathematical, and problem-solving skills.Experience working in Agile development environments.Excellent communication and collaboration skills.<h2>Preferred Skills</h2>Experience with Large Language Models (LLMs) and Generative AI applications.Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.Experience with distributed model training and cloud-native AI architectures.Cloud certifications in AWS, Azure, or Google Cloud are a plus.</section>

Full Time 0 to 0 years sabbar

Operations Manager

On-site - Saudi - Al Damam 8 June 2026

Construction & Real Estate

Join Nineti as a General Manager and take your career to the next level! Location: Saudi Arabia (Jubail Industrial City / Riyadh) Are you a commercially driven operator with deep roots in the Saudi contracting and transport sectors? We are seeking an entrepreneurial General Manager / Business Partner to take full P&L ownership and aggressively scale a high-potential business across the Eastern Province and Riyadh. THE ROLE & MANDATE: You will be the commercial and operational engine of the business, partnering with the board to drive market expansion, client acquisition, and execution excellence across:<ul><li>Sand & clinker transport and fleet operations</li><li>Excavation, backfilling, and site preparation</li><li>Asphalt, civil, and electrical works</li><li>Maintenance services</li></ul> WHAT YOU WILL DO:<ul><li>Drive Commercial Growth by securing new projects and long-term contracts.</li><li>Lead Operations by overseeing end-to-end site execution.</li><li>Optimize Fleets for profitability and deployment of heavy transport logistics.</li><li>Control the Bottom Line with rigorous cost control.</li><li>Build the Network by leveraging existing relationships to capture market share.</li></ul> ? WHO YOU ARE:<ul><li>The Rainmaker with an actionable network in KSA’s construction sector.</li><li>The Operator with deep understanding of site realities and pricing.</li><li>The Entrepreneur with a high-ownership mindset.</li><li>The Leader who builds high-performing teams.</li></ul>

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