Jobs For Faculty Of Science Graduates - Jeddah Saudi

Now Hiring: Art Teacher - Boys Section <br> Location: Riyadh – Granada District Science Oasis International School is seeking a talented Art Teacher to join our vibrant academic team for the upcoming academic year. <br>Requirements:· Bachelor’s degree in Fine Arts, Art Education, or a related field.· Minimum of 2 years experience teaching Art (International School experience is mandatory).· Fluent English speaker .· Strong portfolio of artistic work and student projects.· Creative, patient, and able to work with various age groups.· Proficiency in digital art tools is a plus. <br>Key Responsibilities:· Design and implement engaging art curricula covering various techniques and mediums.· Organize school art exhibitions and encourage student participation.· Foster a creative and safe classroom environment for all students.· Manage art supplies and classroom resources efficiently.<br>How to Apply:Please send your CV to:cv@s-oasis.edu.sa (Subject: Art Teacher - Full Name)<br> Join a school that celebrates creativity and artistic expression. We look forward to seeing your work!<br>#Hiring #Art Teacher #International Schools #Riyadh Jobs #Science Oasis #Teaching Jobs #Fine Arts #Riyadh #Education #Jobs2026 #وظائف_الرياض #توظيف #معلم_فنية #مدارس_عالمية

Now Hiring: Mathematics Teacher<br>Science Oasis International School Location: Riyadh – Granada District<br>Science Oasis International School is seeking a passionate and qualified Mathematics Teacher to join our professional academic team.<br>Position: Mathematics Teacher<br>Requirements:Bachelor’s degree in Mathematics, Education, or a related field. Minimum of 2 years of experience teaching Mathematics (preferably in International Schools). Deep understanding of mathematical concepts and problem-solving strategies. Ability to use technology and modern teaching tools to simplify complex math concepts. Excellent English language proficiency. Creative, patient, and enthusiastic approach to student development.<br>Key Responsibilities:Plan and deliver engaging, high-quality Mathematics lessons aligned with international curriculum standards. Create a stimulating classroom environment that encourages logical thinking and mathematical curiosity. Monitor, evaluate, and provide regular feedback on student performance. Collaborate with the academic team to ensure high educational standards. Maintain active and regular communication with parents regarding student progress.<br>How to Apply: Interested candidates are invited to send their CV to:cv@s-oasis.edu.sa(Subject: Math Teacher - Full Name)<br>Join Science Oasis International School, where we value innovation and academic excellence. We look forward to meeting you!<br>#Hiring #Math Teacher #Mathematics #International Schools #Riyadh Jobs #Science Oasis #Teaching Jobs #Education #Saudi Jobs #Riyadh #Jobs InSaudi #وظائف_الرياض #توظيف #مدارس_عالمية #معلم_رياضيات

Now Hiring: English Teachers<br>Science Oasis International School Location: Riyadh – Granada District<br>Science Oasis International School is seeking passionate and qualified English Teachers to join our professional academic team.<br>Position: English Teacher<br>Requirements:Bachelor’s degree in English Literature, Linguistics, or Education. A recognized teaching certification (e.g., CELTA, TEFL, or PGCE is a plus). Minimum of 2 years of experience in teaching English (preferably in International Schools). Native or near-native English proficiency. Ability to deliver creative and engaging lessons using modern teaching methodologies. Strong classroom management and student engagement skills.<br>Key Responsibilities:Plan and deliver high-quality English lessons tailored to students' needs and curriculum standards. Develop students' reading, writing, listening, and speaking skills. Create a stimulating and inclusive classroom environment that encourages language acquisition. Assess student performance and provide constructive feedback to support their progress. Communicate effectively with parents regarding student development and achievements.<br>How to Apply: Interested candidates are invited to send their CV to:cv@s-oasis.edu.sa(Subject: English Teacher - Full Name)<br>Join Science Oasis International School, where we value innovation and academic excellence. We look forward to meeting you!<br>#Hiring #English Teacher #TEFL #TESOL #International Schools #Riyadh Jobs #Science Oasis #Teaching Jobs #Education #Saudi Jobs #Riyadh #Jobs InSaudi #وظائف_الرياض #توظيف #مدارس_عالمية #معلم_لغة_إنجليزية

Position Summary We are seeking a highly motivated and skilled HPC Computational Scientist to join our team. The successful candidate will be responsible for providing expert support in compiling, running, debugging, and optimizing internally developed codes on high-performance computing (HPC) systems, like Shaheen III CPUs and GPUs partitions. Provide a broad range of support for users of laboratory systems and their software applications. This includes but is not limited to:Directly supporting research and enablement activities on KSL HPC systems in computational science and engineering, big data analysis, artificial intelligence/machine learning, or any related field. Providing expertise in the area of HPC applications and libraries installation, porting, and performance tuning and optimization to run efficiently on CPU and GPU architectures Developing, delivering, updating, and supporting all aspects of training, user documentation, and internal documentation. HPC applications and software tools development as necessary to support enablement activities of research conducted by users on the KSL HPC clusters and supercomputer. Working closely with end users (faculty, researchers, collaboration partners, and industrial partners) to meet their research objectives in collaborative research projects.<br>Major Responsibilities – include but are not limited to - Support enablement activities for research work in computational science and engineering and data analysis including but not limited to:Provide timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Installation, porting and tuning of high performance applications, tools and data analysis software stack Maintain scientific, technical and professional currency through collaboration, practice, training, conferences, independent learning, and other means. Maintain a broad knowledge of state-of-the-art computer technology, equipment, and systems and support benchmarking activities in the lab for future procurements. Review and prepare documentation for systems, tests and installation of software Provides individual and/or group instruction and training on topics of interest to the user community. Develop software tools and parallel application libraries as necessary to support the research projects in the cluster systems and subsystems. Develop software application benchmarks for periodic upgrades of laboratory systems. Articulate and pursue research activities aligned with the laboratory and with personal strengths and interests; pursue co-authorship of papers/presentations as appropriate; engage in scientific communication and outreach.<br>Competencies<br>Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Demonstrated ability to support research activities in an HPC environment Demonstrated ability to work successfully in a highly collaborative research environment Proficiency in programming HPC applications and tools (e.g. Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC, etc.). Track record of publications in computational science and engineering and data analysis journals and conferences Strong team player with a track record of initiative and responsiveness. Excellent analytical, problem solving and decision-making skills Creative and innovative individual Organizational understanding and global thinking Flexible and delivers high-quality results within deadlines Planning and organizational skills Has knowledge of commonly used concepts, practices, and procedures within the related field of expertise Knowledge of project management principles and practices Ability to work in teams and achieve results. The ability to handle multiple projects simultaneously. Ability to work effectively in multi-cultural environment Demonstrated ability to prepare written and to give oral reports in English Strong verbal and written communication skills in English<br>Qualifications Education requirement, minimum: Ph. D. in computer science, computational science and engineering or any closely related discipline.<br>Experience Experience requirement, minimum: Five years’s experience using and supporting large scale computing platforms and related subsystems. Some relevant experience in computational science and engineering or any closely related discipline Experience in parallel computing and with storage systems Previous research experience in one or more of the following areas is also required:Performance modeling including simulation or analytical modeling or tuning of HPC codes I/O, Data management, Data Compression Emerging architectures including heterogeneous computing, memory systems;Node-level programming environments with experience in CUDA, Open CL, Open ACC/Open MP compiler directives;Distributed system programming models like MPI, one-sided asynchronous programming models Experience with computing at scale is desired (for example, computing on a system of the Top500 list).

Background:Quality Engineering / Quality Management Science / Microbiology or Chemical Engineering Food Science / Biotechnology<br><br>Tamheer Requirements<br>:<br>Saudi Not registered in GOSI for a minimum period of six months Required bachelor's degree Have not been registered previously under Tamhe<br>er

Position Summary We are seeking a highly motivated and skilled Senior HPC Systems Administrator to join the KAUST Supercomputing Laboratory (KSL). The successful candidate will be responsible for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, Infini Band and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads.<br>Major Responsibilities – include but are not limited to - <br>Provide timely and effective user support via telephone, walk-in, email, and ticketing system for all inquiry types while maintain high customer service standards. Install, configure, and manage HPC subsystems including compute nodes, high-performance storage systems, Infini Band, Ethernet, and configuration management tools (e.g., Ansible, Puppet). Deploy and manage cluster management software, monitoring tools, and supporting services for operating HPC clusters. Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C++). Develop and maintain automation scripts in Bash and Python to streamline system administration tasks. Deploy and manage container environments (Singularity/Apptainer, Docker) for HPC workloads. Benchmark HPC system components like CPU, memory, Infini Band, and storage periodically to ensure optimal performance and identify tuning opportunities across hardware, driver, and application layers. Enforce security best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity planning. Directly support research activities in computational science, engineering, data analysis, and AI/ML by working closely with faculty, researchers, collaboration partners, and industrial partners in collaboration with application support teams. Develop software tools and utilities as needed to support research projects on cluster systems and subsystems. Drive proof-of-concept projects and technology evaluations end-to-end and research industry best practices and advocate system enhancements. Coordinate with vendors and third-party service providers to report and resolve issues in a timely manner. Develop and maintain user documentation, standard operating procedures, and training materials in the internal wiki. Stay at the forefront of HPC advancements through continuous learning, industry conferences, and professional collaboration, while driving benchmarking initiatives to inform future hardware procurement.<br>Competencies<br>Expertise in supporting users of computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Strong expertise in Linux system administration (RHEL, Rocky Linux, or Cent OS) in large-scale HPC environments. Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC). Demonstrated track record of managing complex HPC systems, including parallel file systems, job schedulers, Infini Band/Ethernet networks, and monitoring systems. Experience with configuration management tools (Ansible, Puppet, or equivalent). Familiarity with computational science, data analysis, and AI/ML applications and libraries used in HPC environments. Knowledge of project management principles and practices. Demonstrated ability to support research activities in a highly collaborative HPC environment. Strong analytical, problem-solving, and decision-making skills. Proactively identifies and implements system improvements; takes initiative and sees tasks through to closure. Ability to manage multiple concurrent projects and deliver high-quality results within deadlines. Proven ability to collaborate cross-functionally with researchers, application teams, and vendors. Effective in multi-cultural, international work environments. Excellent verbal and written communication skills in English, including the ability to prepare and deliver technical reports and presentations.<br>Qualifications Education requirement, minimum: Bachelor’s or master’s degree in computer science/engineering, Information Systems, or equivalent<br>Experience Experience requirement, minimum: Five years of experience supporting large scale computing platforms and related subsystems. Experience troubleshooting complex hardware issues and documenting root cause analysis. Experience managing parallel storage systems (Lustre, GPFS, Weka, Vast, or similar). Experience benchmarking HPC system components (CPU, memory, Infini Band, storage). Experience administering workload managers/schedulers (Slurm, LSF, or PBS). Strong Linux system administration experience (RHEL, Rocky Linux, or Cent OS). Experience with configuration management tools such as Ansible or Puppet. Ability to coordinate with researchers, application support teams, and vendors to resolve complex issues and drive them to closure. Proven ability to collaborate cross-functionally and drive initiatives to completion. Familiarity with Kubernetes and container orchestration platforms would be desirable

Expand Your Horizons and Promote Advanced Life Science Tools for Future Healthcare with MGI #OMICS FOR ALL #Leading Life Science Innovation<br>About BGIBGI Group was founded in 1999 in China with the vision of using genomics for the benefit of mankind and has since become the largest genomics organization in the world. With over 10,000 employees, BGI operates in more than 100 countries, focusing on research and applications in healthcare, agriculture, conservation, and environmental fields. BGI has a proven track record of innovative, high-profile research, which has generated over 4,500 publications, with 430+ publications in top-tier journals such as Nature, Science and Cell. Additionally, in the field of R&D, BGI was ranked No.1 among corporations in the life science/biotechnology sector in the Asia-Pacific region and No.5 worldwide by Nature Index.<br>About MGIMGI is one of the subsidiaries of BGI Group, it is committed to building core tools and technology to lead life science through intelligent innovation. With a focus on R&D, production, and sales of DNA sequencing instruments, reagents, and related products, MGI provides real-time, panoramic, and full-life-cycle equipment and systems for precision medicine, precision agriculture, precision healthcare, and other relevant industries.<br>MGI is a leading producer and one of the few companies in the world that can independently develop and mass-produce clinical high-throughput gene sequencers, its multi-omics platforms include genetic sequencing, medical imaging, and laboratory automation.<br>Our Mission is to develop and promote advanced life science tools for future healthcare, and to transform people’s lives for the better. We don’t hesitate to make bold decisions that can help us achieve new breakthroughs. We believe that the success of our business will mean a better world for people to live in.<br>Our Message to the world is simple: lead in life science innovation, make everyone’s life healthier and longer.<br>Your duties as a Sales Rep include but are not limited to the following:1. Providing professional solutions to the customers based on technical skills in NGS field and achieving the sales target.2. Customer visiting, in-time response to the technical enquiries from the customers, providing professional technical consultation services.3. Providing products, technologies and solutions training to the distributor, cooperating with the distributor to achieve the sales target.4. Monitoring the latest technologies and trends in NGS field. Developing and working closely with KOLs for efficient product promotion.5. Participating in marketing activities, hosting technical seminars. Providing product introduction/update/technical seminars regularly to the customers.6. Collecting and feedback market information, competitors’ information to marketing and R&D department for strategy planning.<br>The successful candidates for this position are able to demonstrate:<br>1. Bachelor's or above degree major in Molecular biology, cell biology, immunology, genetics or bioinformatics.2. Familiar with Next Generation Sequencing, genomics, genetics field and market, be familiar with gene sequencers or application areas.3. At least 2 years sales/technical support experience in genetics/genomics related instrument, good sense of services.4. Excellent in communication, coordination, and teamwork, willing to accept challenges and stress tolerant.5. Highly self-motivated, strong willing and good ability to learn new technologies and skills, be adapted to frequent business trips.6. Network of established customer relationships preferred.7. Demonstrating superior problem solving and interpersonal skills in a customer facing environment.8. Clear vision of and commitment to providing outstanding customer service.<br>Here at BGI, we value people and consider our employees as partners. A transparent, fair, and friendly environment is what we have created here. An agile approach to management is what we implement here, and we give each partner enough independence as well as guidance. We take care of our partners' physical and mental health, and we are dedicated to a work-life balance corporate culture.<br>Not only do we bring genomics closer to people, but we also participate in various charity programs, advocate for nature preservation, and support equality. We condemn any discrimination and are committed to giving job opportunities to everyone, regardless of sex, race, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, etc.<br>Let’s move to a brighter and more equal future together and deliver #Omicsforall

Job Overview We are seeking an experienced AI Trainer to design and deliver high-quality training programs in Artificial Intelligence. The ideal candidate is passionate about teaching, possesses strong technical expertise in AI, and can translate complex concepts into practical, hands-on learning experiences. The trainer will prepare learners for real-world AI careers through project-based instruction and technical mentorship.<br>Responsibilities● Deliver instructor-led training in Artificial Intelligence and Generative AI.● Teach both foundational and advanced AI concepts through practical, project-based learning.● Guide trainees in building production-ready AI applications.● Evaluate learner performance and provide constructive technical feedback.● Support learners throughout their training journey and encourage continuous improvement.● Stay up to date with emerging AI technologies, frameworks, and best practices.<br>Requirements● Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.● 3+ years of professional experience in Artificial Intelligence, Machine Learning, Data Science, or a related field.● Experience delivering technical training, workshops, bootcamps, or mentoring.● Strong proficiency in Python and common AI/ML frameworks such as PyTorch, Tensor Flow, scikit-learn, or Lang Chain.● Excellent communication and presentation skills.● Ability to explain complex technical concepts to learners with different levels of experience.<br>Preferred Skills● Experience building AI-powered applications.● Knowledge of vector databases such as Pinecone, Chroma, Milvus, or FAISS.● Experience with MLOps concepts and model deployment.● Experience using Docker and Git.● Familiarity with cloud platforms (AWS, Azure, or GCP).

Company Description abaq al ilm is an educational institution committed to providing high-quality instruction in science and other core subjects. The school focuses on fostering curiosity, critical thinking, and academic excellence among students in Jeddah. Educators at abaq al ilm are encouraged to use modern teaching methods and engage learners through practical and interactive lessons. The institution values collaboration, professional growth, and a supportive learning environment for both staff and students.<br>Role Description The Chemistry and Biology Teacher will deliver engaging, curriculum-aligned lessons to students, ensuring a clear understanding of key scientific concepts and laboratory practices. Day-to-day responsibilities include planning and preparing lessons, teaching theory and practical sessions, assessing student performance, and providing constructive feedback. The teacher will be expected to manage classroom behavior, maintain accurate records of student progress, and collaborate with colleagues on curriculum development and school activities. This is a full-time, on-site role based in Jeddah, requiring active participation in staff meetings, parent communication, and school events.<br>Qualifications<br> Candidates should possess strong teaching and classroom management skills, with demonstrated experience as a qualified teacher in Chemistry and Biology. Candidates should possess effective lesson planning abilities, including designing structured, interactive, and assessment-focused science lessons. Candidates should possess solid subject knowledge in Biology and Chemistry, including practical laboratory applications and safety procedures. Candidates should possess clear and professional communication skills, with the ability to explain complex concepts to diverse learners and interact with parents and colleagues. Relevant bachelor’s degree or higher in Chemistry, Biology, Science Education, or a related field, with appropriate teaching certification or license where applicable. Experience teaching in school settings, familiarity with educational technology, and a commitment to inclusive, student-centered learning approaches. Strong organizational skills, adaptability, and a willingness to participate in ongoing professional development.

Company Description Elite Digital Technologies enables organizations to drive digital transformation using advanced technologies such as Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, and cloud computing. The company helps clients balance the adoption of new digital solutions with the restructuring or replacement of legacy systems. Elite Digital emphasizes strategic partnerships and collaboration with vendors and industry leaders to deliver strong value propositions and premium support. As a Microsoft Partner, the company leverages enterprise-proven tools and resources to accelerate go-to-market strategies and develop flexible, robust, and cost-effective solutions for its customers. Role Description This is a contract, on-site Data Scientist role based in Riyadh. The Data Scientist will work closely with cross-functional teams to collect, clean, and analyze data from various sources, and build statistical and machine learning models that support business decisions and digital transformation initiatives. Day-to-day responsibilities include designing experiments, performing exploratory data analysis, creating dashboards and visual reports, and communicating insights to technical and non-technical stakeholders. The role also involves collaborating with engineers and product teams to deploy analytical solutions, monitoring model performance, and recommending improvements to data pipelines and decision processes. Qualifications Strong foundation in Data Science and Statistics, with the ability to design experiments and build predictive models. Proficiency in Data Analytics and Data Analysis for extracting insights and supporting data-driven decision-making. Experience with Data Visualization tools and practices for creating clear, actionable dashboards and reports. Hands-on experience with programming languages commonly used in data science (such as Python or R) and SQL. Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Tensor Flow, PyTorch) is highly beneficial. Knowledge of cloud platforms and data engineering concepts, including data pipelines and ETL processes, is an advantage. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear, concise manner. Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Ability to work on-site in Riyadh and collaborate effectively in a multicultural, cross-functional environment. Bachelor’s in Data Science or equivalent; Responsible AI/SDAIA training; minimum 3 years, including experience with the relevant domain data.

About the Role<br>The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale. This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>MLOps and Container Development Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images. Design and implement robust MLOps workflows and pipelines at supercomputing scale. Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment. Design and deploy APIs for AI/ML services and inference endpoints. Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization. Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).<br>Governance and Compliance Support Assist in computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows. Ensure container images and workflows comply with security policies and best practices. Support the implementation of usage monitoring and reporting systems.<br>Performance and Benchmarking Perform performance debugging and tuning of MLOps and cloud-native workflows. Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems. Create and maintain regression testing workloads for existing clusters. Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.<br>Training and Documentation Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization. Develop and maintain high-quality user documentation for automation tools and workflows. Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of automation infrastructure.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.<br>Required Skills<br>Demonstrated experience developing robust and complex MLOps pipelines. Hands-on experience with API design and deployment. Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment. Experience supporting researchers or working in academic/research computing settings preferred.<br>Technical Skills - Essential Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh. MLOps: Experience developing and maintaining MLOps pipelines and workflows. CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment. Containerization: Experience building secure, OCI-compliant container images. API Development: Experience in API design, development, and deployment. Programming: Proficiency in Python; experience with Go, Bash scripting. Linux: Strong Linux/Unix systems administration skills.<br>Technical Skills - Desired Experience with Argo CD, Airflow, DASK, Spark for workflow orchestration. Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines. Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki). Knowledge of Model Context Protocol (MCP) and agentic frameworks. Experience deploying inference services at scale. Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub). Experience with Git Ops practices and Infrastructure as Code (Terraform, Ansible). Experience with HPC schedulers (SLURM) and HPC-cloud integration.

Data and ML Platform Engineer<br>Purpose of the Job To design, build, and maintain scalable data pipelines and architecture that enable reliable, high-quality data availability across port operations. The role will be critical in integrating operational systems such as Navis N4 Terminal Operating System, IoT platforms, and enterprise systems to support analytics, reporting, and AI-driven decision-making across Group RSGT.<br>Reporting ToData Science Senior Manager Working Conditions Within the terminal – both indoor and outdoor.<br>Required Experience3–6 years of experience in data engineering or backend data systems. Experience working with operational or industrial datasets preferred. Proven ability to build and maintain data pipelines in production environments.<br>Education Requirements Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.<br>Skills / Attributes Strong SQL and data modelling expertise. Proficiency in Python for data engineering (ETL, pipelines). Experience working with APIs and large datasets. Understanding of cloud platforms (Azure preferred). Strong problem-solving and system design skills. <br>Key Accountabilities / Responsibilities<br>Data Engineering and Integration Design and develop data pipelines to ingest data from operational systems including Navis N4, equipment systems, and enterprise platforms. Build ETL/ELT processes for batch and near real-time data ingestion. Integrate structured and unstructured data sources across terminal operations. Ensure seamless data flow between operational systems and analytics platforms.<br>B. Data Architecture and Management Develop and maintain scalable data models to support reporting and analytics. Support implementation of data warehouse / data lake architecture. Optimize database performance and ensure efficient query execution. Maintain metadata, data lineage, and documentation standards.<br>C. Data Quality and Governance Ensure data accuracy, consistency, and completeness across datasets. Implement data validation, monitoring, and quality control mechanisms. Collaborate with IT and Data Science teams to enforce data governance standards. Support compliance with data security and regulatory requirements.<br>D. Analytics Enablement Prepare clean, structured datasets for use in dashboards and analytics tools such as Microsoft Power BI.<br>Enable data availability for key use cases such as: Crane utilization tracking. Vessel turnaround analysis. Yard optimization. Support Data Science team in model development and deployment.<br>E. Performance and Continuous Improvement Identify opportunities to automate manual data processes. Improve pipeline efficiency and reduce data latency. Support scalability of data infrastructure as business needs evolve.<br>Competencies: Analytical Thinking Problem Solving Collaboration & Influence Results Orientation Innovation Data-Driven Decision Making Integrity Dynamic

Greenland Group. is looking for Lab Technician (ALMARAI Company, Saudi Arabia) Job Description / Responsibility Ensure to minimize the testing time by providing the pre-requisite support for all conducted tests in the laboratories. Ensure to minimize product release time by conducting assigned tests efficiently. Minimize product losses by conducting on-line process control tests as per the approved specification. Conduct accurate and on time sampling of raw materials, packaging materials and Finish Goods as per the approved sampling plan. Minimize erroneousness results due to contamination by cleaning the Lab ware on time and as per the approved procedure and by conducting the in-house calibration and maintenance to bring about higher degree of confidence level of quality control tests. Minimize the laboratory expenditures by planning the expenditures in the area of requirement to get maximum benefit of the spending and meet the set budgets. Minimize equipment down time due to malfunction by efficiently scheduling the maintenance. Maintain the highest level of health and Safety (H&S) standards in the section by carrying out H&S tasks to minimize accident & thus loss of man-hours. Educational Requirements Diploma in Health Technology and Services in Food & Nutrition Bachelor of Science (BSc) in Food Science & Technology Skills Required: Food and Nutrition, Pharmaceutical Production, laboratory technician, Food and Beverage, Laboratory testing, Food and Beverage Preparation Experience Requirements At least 5 year(s) The applicants should have experience in the following business area(s):Pharmaceutical/Medicine Companies,Food (Packaged)/Beverage,Overseas Companies,Group of Companies,Chemical Industries,Science Laboratory Job Location Saudi Arabia Salary Tk. 48000 - 70000 (Monthly)

Insurance Authority COOP Program The Insurance Authority is offering a Cooperative Training Program (COOP) for students in Actuarial Science This program provides hands-on experience in a professional environment, where trainees work on real projects, develop technical and analytical skills, and gain exposure to the insurance regulatory sector.<br>What You’ll Gain Practical work experience Mentorship from industry professionals Participation in real projects Monthly stipend Certificate of Completion<br>Eligibility Enrolled in a bachelor’s program (COOP required for graduation) Field: Actuarial Science or related Strong academic performance Interest in actuarial qualifications Available full-time<br>Build Your Future with the Insurance Authority Kick-start your professional journey through a meaningful learning experience that equips you with practical skills, broadens your perspective, and empowers you to contribute to the continued growth of Saudi Arabia's insurance sector.

Greenland Group. is looking for Inspector - Quality Assurance (NADEC Company, Saudi Arabia) Job Description / Responsibility Perform quality checks across slaughter, processing, hygiene and packing areas to ensure product compliance. Inspect raw material, carcasses, cuts, packaging and finished products. Verify GMP, temperature, sanitation and process control records. Raise non-conformance reports and follow up corrective actions. Support internal audits and product release checks. QA inspection experience in a slaughterhouse, meat processing plant, chilled food factory or similar high-care food environment. Educational Requirements Diploma in Livestock in Food Science & Technology Doctor of Veterinary Medicine (DVM) in Food Science & Technology Skills Required: Food and Beverage, processed meat, Food items (FMCG), Manufacturing (FMCG) Experience Requirements At least 5 year(s) The applicants should have experience in the following business area(s):Training Institutes,Food (Packaged)/Beverage,Agro based firms (incl. Agro Processing/Seed/GM),Overseas Companies,Group of Companies Job Location Saudi Arabia Salary Tk. 130000 - 190000 (Monthly)

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.<br>Responsibilities Lead the technical design and implementation of AI and machine-learning components. Develop solutions for document extraction, financial line-item classification, mapping and analytics. Define model-selection, training, evaluation and deployment methodologies. Establish accuracy, confidence, explainability and human-review controls. Guide AI engineers and collaborate with data, MLOps, architecture and business teams. Support PoC experimentation and production model deployment. Qualifications Bachelor’s in Computer Science or AI; relevant certifications; minimum 5 years in AI/ML development. Bachelor’s degree in Computer Science, Artificial Intelligence or a related field. Minimum five years of experience in AI/ML development. Experience with document AI, OCR, NLP, Gen AI or structured data extraction. Strong Python and machine-learning framework experience. Relevant AI, cloud or machine-learning certifications preferred. Experience in banking, financial services or government projects is advantageous.

Company Description My Little Kingdom International School for Girls (MLKIS) is a Cognia-accredited institution committed to delivering a high-quality, standards-based curriculum and assessments. The school focuses on academic excellence and holistic development within a supportive and inclusive learning environment. MLKIS prepares students for mastery in Tahsili (SAT) and Qudurat (GAT), equipping them with strong analytical and problem-solving skills. Educators at MLKIS collaborate to maintain rigorous academic standards and to foster a culture of continuous improvement. The school values professionalism, innovation, and dedication in its teaching staff.<br>Role Description The Computer Teacher will deliver engaging, age-appropriate computer education to students, focusing on core computer science concepts, digital literacy, and introductory programming skills. Day-to-day responsibilities include planning and implementing lessons, preparing teaching materials, assessing student performance, providing constructive feedback, and maintaining accurate records. The role also involves contributing to curriculum development, integrating technology into the broader school program, and collaborating with colleagues to support student achievement in Tahsili and Qudurat preparation. The Computer Teacher is expected to create a safe, inclusive classroom environment and promote responsible use of technology. This is a full-time, on-site role based in Jeddah.<br>Qualifications<br> Strong foundation in Computer Science and Programming, with the ability to teach core concepts and practical skills. Demonstrated Teaching experience, including lesson planning, classroom management, and student assessment. Effective Communication skills for explaining complex topics clearly and building positive relationships with students and colleagues. Experience in Curriculum Development, particularly in designing standards-based computer and technology courses. Bachelor’s degree in Computer Science, Information Technology, Education, or a related field (advanced qualifications are an advantage). Familiarity with educational technology tools, learning management systems, and digital resources for instruction. Ability to work collaboratively in a diverse, multicultural school environment and support school-wide academic goals. Strong organizational skills, adaptability, and a commitment to ongoing professional development.

Overview:<br>Tachy Health is on the lookout for a Healthcare Product Manager (MD) to join its team. A leading healthcare technology startup in the MENA region, with a mission of driving value-based healthcare worldwide and making healthcare better on a scale, through transforming the payer-to-provider interaction using Artificial Intelligence and Data Science. <br>Role Summary:<br>We’re seeking a Medical Doctor (MD) with hands-on experience in healthcare insurance with at least 3 years in the field. This role is ideal for someone who understands the healthcare insurance ecosystem and is passionate about transforming industry challenges into innovative, technology-driven solutions. As a Product Manager, you’ll collaborate with cross-functional teams to build products that improve healthcare operations and deliver exceptional value to our clients.<br>Key Responsibilities:<br>Product Strategy & Roadmap: Define and drive the product roadmap in alignment with business objectives, customer needs, and market opportunities.<br>Stakeholder Collaboration: Engage with healthcare providers, payers, clients, and cross-functional teams (engineering, data science, and design) to gather insights and validate product solutions.<br>Product/feature Development: Work closely with engineering to prioritize, develop, and refine features that optimize and improve user experience.<br>Market & Compliance Research: Stay up-to-date on healthcare regulations, insurance policies, and industry trends to ensure our products are compliant and competitive.<br>Performance Tracking & Improvement: Analyze product metrics, conduct user research, and iterate on features to continuously enhance product performance and relevance. Required Qualifications: Medical degree (MD or BDS) with 3+ years of experience in healthcare insurance, RCM, claims management, or a related healthcare domain. Proven experience in product management, ideally in a startup or Saa S environment. Solid understanding of healthcare insurance workflows, claims lifecycle, and payer-provider interactions. Strong analytical, communication, and stakeholder management skills. Ability to work effectively in a fast-paced, collaborative environment. Preferred Skills: Experience working with AI-enabled or data science-driven healthcare products. Familiarity with agile methodologies and product management tools. Why Join Us? Be part of a mission-driven team at the forefront of healthcare and technology. Competitive salary and growth opportunities in a high-impact role. Work on products that bring real change to the healthcare industry.

We are looking for motivated and talented Computer Science / Information Technology graduates to join our team as ERP Functional.<br>Qualifications:Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, or a related field. Fresh graduates with relevant internship/co-op experience are encouraged to apply. Candidates with 1–4 years of experience in ERP Functional, ERP Support, ERP Implementation, or ERP Business Analysis are also welcome. Strong analytical, problem-solving, and communication skills. Willingness to learn and work in a dynamic environment. Preferred Qualifications:Experience with Oracle ERP / Oracle Fusion ERP or other ERP solutions. Internship or work experience in ERP implementation, support, or business applications. Knowledge of SQL, reporting tools, or data analysis. Experience with Power BI. Understanding of business processes such as HR, Finance, Procurement, Supply Chain, or Projects. Experience working with construction, infrastructure, or engineering companies is considered an advantage. Exposure to mega/giga projects is a plus.<br>If you're passionate about ERP solutions and looking to build your career in enterprise applications, we'd love to hear from you.<br>Apply now and become part of our growing team.

Position Summary Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly technical and partly people leading role which involves supervision of 3-4 experienced HPC system administrators. The role involves development, implementation and supervision of standard operating procedures for the system and the team.<br>Major Responsibilities System operation and upgrade planning to meet laboratory and customer requirements Workload scheduler policy development and implementation Support of high-performance filesystems Network infrastructure management including TCP/IP and HPC networks Use of scripting languages for nodes automation and configuration management Hardware failures and spare part management Build effective relationships with staff, faculty and students through the Core Labs Manages multiple or significant projects which may require the use of sophisticated project planning techniques Plans, schedules, conducts, or coordinates detailed phases of the work of a major project or in a total project of moderate scope Identifies technical training needs for staff attached to the area Serve as a resource and as a member to respond to security and safety incidents Creates opportunities to enhance technical methodology or content through expansion of existing, or development of, new efforts; may extend technology into new application areas; contributes or leads in major intellectual development activities Provides innovative problem-solving approaches to enhance organizational capabilities; uses peer network to expand technical capabilities and identify new research opportunities Understands broad strategic objectives and contributes to them; nurtures and maintains relationships with major customers May initiate new project concepts; develops technical proposals and makes presentations to potential customers Will supervise several scientists, engineers or technicians on assigned work; provides major input to staffing of overall project teams; builds teams and staff to optimize efficiency and cost effectiveness Identifies and evaluates candidates for open positions; mentors/trains staff in development of technical, project and business development skills<br>Competencies SLURM workload manager including GPU scheduling Parallel filesystems (Weka IO, Lustre) TCP/IP and high performance networks (Infiniband) Proficient in scripting languages (i.e. Bash, Python, Ruby) Familiar with configuration management tools (Puppet) Proficient documentation skills Will have working level contact with users and suppliers Demonstrates an analytical and systematic approach to problem solving Takes the initiative in identifying and negotiating appropriate development opportunities Demonstrates effective communication skills in written and oral English Works effectively with other teams in the Supercomputing Laboratory Plans, schedules and monitors own work (and that of others) competently within limited deadlines and according to relevant legislation and procedures Ability to work successfully in a highly collaborative research environment Uses discretion in identifying and resolving complex problems and assignments Performs a broad range of work, sometimes complex and non-routine, in a variety of environments Maintain expert-level knowledge in most of the laboratory systems, including high performance computing systems administration, high performance storage administration, or high performance network administration<br>Qualifications and Experience Bachelor of Science (or equivalent) in a relevant discipline plus 10 years’ experience, OR Master of Science (or equivalent) in a relevant discipline plus 7 years’ experience OR Doctor of Philosophy (or equivalent) in a relevant discipline plus 5 years’ experience.