Jobs For Faculty Of Science Graduates in Saudi

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.<br> We are more than 34,000 people, in over 30 countries, dedicated to&nbsp;improving quality of life.<br> Everyone has an important role to play.<br> With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.<br> Role description: Arcadis is seeking a Senior Environmental Scientist for its Birmingham, Alabama Industrial Hygiene (IH) team.<br> The ideal candidate will be an experienced IH expert with extensive knowledge of chemical exposure assessments, noise surveys, asbestos, lead-paint, hazardous materials, indoor air quality/mold consulting, and compliance tasks.<br> Responsibilities include field work, project report preparation, stakeholder document review, technical leadership and mentorship, and support for Arcadis staff.<br> Alabama asbestos licensing is required, and job-specific training is available.<br> This role offers collaboration on diverse projects, opportunities for professional growth, and requires overnight travel and a valid driver’s license.<br> Role accountabilities: As a member of the IH Community of Practice, you will collaborate with junior staff, senior technical experts, and project managers in multidisciplinary environmental teams.<br> Primary duties include the following.<br> Communicate with agencies, management, staff, and subcontractors to define scope and schedule for projects.<br> Conduct high-level technical surveys and oversight of subcontractors.<br> Document field activities accurately using provided tools.<br> Review and evaluate field findings.<br> Interpret laboratory data and reports.<br> Prepare technical memorandums, summary reports, and other client deliverables.<br> Perform senior technical peer-reviews on reports.<br> Provide expertise and effective mentoring to staff.<br> Qualifications &amp; Experience: Required Qualifications Bachelor’s degree in science 12+ years in consulting or professional services Knowledge of OSHA, EPA, and state regulations related to asbestos and mold OSHA 40-hour HAZWOPER certification RCRA/DOT Hazardous Waste Shipping Training Preferred Skills Strong problem-solving and project management abilities.<br> Excellent communication, interpersonal, and presentation skills.<br> Proven leadership, ability to prioritize, delegate, make decisions quickly, and focus on quality.<br> Why Arcadis?<br> We can only achieve our goals when everyone is empowered to be their best.<br> We believe everyone's contribution matters.<br> It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.<br> You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet.<br> Make your mark, on your career, your colleagues, your clients, your life and the world around you.<br> Together, we can create a lasting legacy.<br> Join Arcadis.<br> Create a Legacy.<br> Our Commitment to Equality, Diversity, Inclusion &amp; Belonging We want you to be able to bring your best self to work every day.<br> Our ambition is to be an employer of choice and provide a great place to work for all our people.<br> We are an equal opportunity employer.<br> We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.<br> Arcadis offers benefits for full time and part-time positions.<br> These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&amp;D, life insurance, paid parental leave, reward &amp; recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement.<br>&nbsp; We offer nine paid holidays and 15 days PTO that accrue per year.<br>&nbsp;The salary range for this position is $92,160 - $138,240.<br> Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location.<br> #LI-HYBRID&nbsp; #Resilience-ANA #Environment-ANA&nbsp; #LI-AO1</p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Technical Discipline Instructor is responsible for delivering high-quality theoretical and practical training within their assigned technical discipline, ensuring learners develop the knowledge, practical skills, behaviours and competencies required to perform safely and effectively within the industrial workplace.</p><p>The Instructor will deliver classroom-based instruction, workshop practical exercises and competency-based assessments using approved curricula, training standards and assessment methodologies. The role supports the development of Saudi national workforce capability through structured vocational education and competency assurance programmes aligned with industry best practice.</p><p>The Instructor shall promote a positive safety culture, maintain high instructional standards and contribute to continuous improvement across the training programme.</p><p>The Technical Discipline Instructor will play a key role in maintaining international accreditations and course standards, driving learner performance, and supporting the successful achievement of project KPIs and client expectations.</p><p>Technical Disciplines</p><p>We invite candidates from a range of construction, civils and engineering disciplines including:</p><ul><li><p>Welding</p></li><li><p>Pipefitting</p></li><li><p>Scaffolding</p></li><li><p>Electrical</p></li><li><p>Instrumentation &amp; Controls</p></li><li><p>HSE</p></li></ul><p>Instructional Delivery</p><ul><li><p>Deliver classroom, workshop and practical training within the assigned technical discipline.</p></li><li><p>Prepare lesson plans, practical exercises and instructional materials.</p></li><li><p>Deliver competency-based instruction using approved curricula.</p></li><li><p>Demonstrate industry best practices and safe working techniques.</p></li><li><p>Conduct demonstrations and supervise practical workshop activities.</p></li><li><p>Ensure all practical training complies with relevant HSE requirements.</p></li><li><p>Adapt instructional techniques to accommodate varying learner abilities.</p></li></ul><p>Student Assessment</p><ul><li><p>Conduct formative and summative assessments.</p></li><li><p>Observe and assess practical competency against defined standards.</p></li><li><p>Complete assessment documentation accurately and objectively.</p></li><li><p>Provide constructive feedback and coaching to learners.</p></li><li><p>Recommend remedial training where necessary.</p></li><li><p>Maintain assessment records in accordance with project procedures.</p></li></ul><br><p>Workshop &amp; Practical Training</p><ul><li><p>Prepare workshops and training equipment before practical sessions.</p></li><li><p>Inspect training equipment and report defects.</p></li><li><p>Ensure training consumables are available.</p></li><li><p>Maintain housekeeping within workshops and training facilities.</p></li><li><p>Promote safe use of tools, machinery and equipment.</p></li><li><p>Support preventative maintenance of training equipment.</p></li></ul><p>Health, Safety &amp; Environment</p><ul><li><p>Promote a positive safety culture at all times.</p></li><li><p>Ensure compliance with all HSE procedures.</p></li><li><p>Conduct toolbox talks where appropriate.</p></li><li><p>Report hazards, unsafe conditions and incidents.</p></li><li><p>Ensure learners correctly use PPE.</p></li><li><p>Stop unsafe work whenever necessary.</p></li></ul><p>Student Support</p><ul><li><p>Monitor student progression and intervention requirements</p></li><li><p>Support examination readiness or, workforce competency standards</p></li><li><p>Promote student engagement and retention</p></li></ul><p>Compliance &amp; Reporting and Continuous Improvement</p><ul><li><p>Maintain accurate records and reporting documentation</p></li><li><p>Ensure compliance with project QA/QC procedures and client requirements</p></li><li><p>Support audits, inspections, and accreditation requirements where applicable</p></li><li><p>Participate in instructor development activities.</p></li><li><p>Attend standardisation meetings.</p></li><li><p>Contribute to curriculum improvements.</p></li><li><p>Maintain technical competence within assigned discipline.</p></li><li><p>Keep current with emerging technologies and industry best practice.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Knowledge/ Qualification/ Training/ Certification:</p><p>Education</p><p>Pathway 1 - Bachelor’s degree or higher in relevant Industrial/Vocational Education, or Engineering/Science, plus minimum 4 years of industrial training experience, at least 2 years preferably in the skill area to be taught.</p><p>Or,</p><p>Pathway 2 - Associate degree in relevant Industrial/Vocational Education or equivalent qualification, plus minimum 6 years of industrial training experience, at least 2 years preferably in the skill area to be taught.</p><p>Or,</p><p>Pathway 3 - No formal academic degree, but craft-certified, with minimum 8 years of experience in the specific field, at least 2 years preferably in the skill area to be taught.</p><p>Teaching Certification Professional trainer certification</p><p>A Professional trainer certification from an internationally recognized certification or licensing organization is preferred.</p><p>Language Requirements</p><p>English speaker. Arabic language would also be advantageous.</p><p>Other Technical Skills/Experience</p><ul><li><p>High level of computer proficiency required</p></li><li><p>Experience with smart learning technologies preferred</p></li><li><p>Experience of LMS platforms</p></li><li><p>Virtual or remote delivery instruction and platforms</p></li><li><p>Microsoft Office applications</p></li><li><p>Digital assessment tools</p></li></ul><p>Communication:</p><ul><li><p>Excellent command of the English language in both oral and written communication and skills.</p></li></ul><p>Behavior/ Core Competencies:</p><ul><li><p>Strong leadership and mentoring capability</p></li><li><p>Excellent classroom management skills</p></li><li><p>Strong cross-cultural communication capability</p></li><li><p>Ability to work effectively within large multinational project teams</p></li><li><p>Strong reporting and documentation skills</p></li></ul><p>Additional Preferred Experience</p><p>Experience supporting programs related to:</p><ul><li><p>Oil &amp; Gas</p></li><li><p>Industrial skills training</p></li><li><p>Technical and vocational education (TVET)</p></li><li><p>Workforce nationalization initiatives</p></li><li><p>Foundation year programs</p></li></ul><p>HSSEQ:</p><p>The Employee shall observe the Health, Safety, Sustainability, Environment and Quality rules of the Company; it’s clients and the governing authorities of the host country.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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.</p><p>Key Responsibilities</p><p>AI &amp; Machine Learning Development</p><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><p>Generative AI Engineering</p><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><p>MLOps &amp; AI Operations</p><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><p>Cloud &amp; Platform Engineering</p><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><p>Data Engineering &amp; Integration</p><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><p>Stakeholder Management</p><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><p>Required Technical Skills</p><p>Artificial Intelligence &amp; Machine Learning</p><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 &amp; 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><p>MLOps</p><ul><li>MLflow</li><li>Kubeflow</li><li>Airflow</li><li>Model Monitoring &amp; 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><p>Cloud Platforms</p><ul><li>Microsoft Azure</li><li>AWS</li><li>Google Cloud Platform (GCP)</li><li>Oracle Cloud Infrastructure (OCI)</li></ul><p>Preferred</p><p>Containers &amp; DevOps</p><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><p>Programming Languages</p><ul><li>Python (Mandatory)</li><li>SQL</li><li>Bash/Shell Scripting</li><li>Java or C# (Preferred)</li></ul><p>Qualifications</p><p>Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</p><p>Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</p><p>Experience Requirements</p><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><p>Preferred Certifications</p><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><p>Soft Skills</p><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><p>Mandatory Requirements</p><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><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><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><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Eram Talent is seeking a skilled Industrial Hygiene Technician to join our team in Saudi Arabia. The Industrial Hygiene Technician will support the implementation and maintenance of industrial hygiene programs to ensure a safe and healthy work environment for all employees.</p><p><strong>Education and Certification:</strong> Diploma in Environmental Science, Natural Science, Chemistry Science, or higher. Occupational Hygiene and Safety Technician (OHST) certification or equivalent Knowledge and / or the ability to quickly learn OSHA and similar regulations and consensus standards governing industrial hygiene.</p><p><strong>Experience:</strong> At least 3 years of working experience in Industrial Hygiene function in a petrochemical, refining, fertilizer and/or chemical industry.</p><p><strong>Other Requirements:</strong> Knowledge and / or the ability to quickly learn conducting hazard identifications, PPE assessments, job safety analyses for work activities and industrial hygiene programs. Must be customer focused and results driven, with the ability to effectively collaborate and work with company and contractor personnel at various levels throughout the facility. Must have high levels of self-motivation and self-confidence. Good oral and written communication skills with proficiency in Microsoft Office computer applications.</p><p><strong>Skills:</strong> Knowledge and / or the ability to quickly learn using direct reading instrumentation such as sound level meters, sampling pumps, multi-gas monitors, Lux meters, and Photo-ionisation detectors (PIDs). Knowledge and/or ability to perform qualitative and quantitative hazard assessment.</p><p><strong>Abilities:</strong> Ability to work both independently and in a team environment Support the Industrial Hygienist with the implementation and execution of the Industrial Hygiene Program. Perform industrial hygiene surveys in the workplace, e.g. Heat Stress monitoring, Noise Surveys, Chemical exposure surveys, Lighting surveys, and Ergonomic studies. Ensure calibration and operability of all industrial hygiene instrumentation; maintain inventory of associated industrial hygiene sampling consumable materials. Prepare all industrial hygiene sampling media and ensure dispatch of samples to external analytical facilities. Supports implementation of Respiratory Protection Program including operation of breathing air compressor Conduct respirator fit testing and the associated record keeping. Conducts inspection/function test of respirators. Supports maintenance and calibration of multi-gas detectors. Provide day-to-day industrial hygiene support for Plant personnel &amp; contractors, including participation in PPE assessments, job safety analyses and workplace hazard assessments. Participate in compliance audits, conduct formal audits on IH program</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Diploma in Environmental Science, Natural Science, Chemistry Science, or higher. Occupational Hygiene and Safety Technician (OHST) certification or equivalent Knowledge and / or the ability to quickly learn OSHA and similar regulations and consensus standards governing industrial hygiene. At least 3 years of working experience in Industrial Hygiene function in a petrochemical, refining, fertilizer and/or chemical industry. Knowledge and / or the ability to quickly learn conducting hazard identifications, PPE assessments, job safety analyses for work activities and industrial hygiene programs. Must be customer focused and results driven, with the ability to effectively collaborate and work with company and contractor personnel at various levels throughout the facility. Must have high levels of self-motivation and self-confidence. Good oral and written communication skills with proficiency in Microsoft Office computer applications. Knowledge and / or the ability to quickly learn using direct reading instrumentation such as sound level meters, sampling pumps, multi-gas monitors, Lux meters, and Photo-ionisation detectors (PIDs). Knowledge and/or ability to perform qualitative and quantitative hazard assessment. Ability to work both independently and in a team environment</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>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.</p><p>6 - 8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</p><p>Minimum 3+ years of hands-on experience implementing Generative AI solutions.</p><p>Proven experience building and operationalizing machine learning models in production environments.</p><p>Strong experience implementing enterprise MLOps frameworks and practices.</p><p>Experience working with cloud-native AI services and modern AI platforms.</p><p>Native or Fluent Arabic Speaker.</p><p>Strong Python programming skills.</p><p>Experience deploying AI solutions in enterprise production environments.</p><p>Willingness to work onsite in Riyadh, Saudi Arabia.</p><p>Strong analytical and problem-solving skills.</p><p>Excellent communication and stakeholder management abilities.</p><p>Ability to work effectively in cross-functional and multicultural environments.</p><p>Strong ownership, accountability, and leadership mindset.</p><p>Passion for innovation and continuous learning.</p><p>Ability to communicate fluently in both Arabic and English.</p><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Fengkai Group Co., Limited is seeking a part-time Peer Reviewer for Soil Science to support its operations in Saudi Arabia. This is a long-term, remote position requiring a high level of expertise and commitment to academic integrity.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">The Peer Reviewer will be responsible for critically evaluating scientific manuscripts submitted for publication. This role involves a thorough assessment of research quality, originality, and adherence to scientific and ethical standards within the field of Soil Science. The objective is to provide constructive feedback to authors and assist journal editors in making informed publication decisions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Evaluate the originality and novelty of submitted manuscripts, assessing their contribution to the field of Soil Science.</li> <li style="margin:0 0 6px;">Critically assess the study design, methodology, and clarity of presentation to ensure reproducibility and scientific rigor.</li> <li style="margin:0 0 6px;">Verify that the manuscript adequately incorporates and cites relevant and current literature.</li> <li style="margin:0 0 6px;">Analyze the presentation of results and the validity of conclusions drawn from the data.</li> <li style="margin:0 0 6px;">Provide clear, concise, and constructive feedback to authors, highlighting strengths, weaknesses, and potential areas for improvement.</li> <li style="margin:0 0 6px;">Identify and report any ethical concerns or potential misconduct.</li> <li style="margin:0 0 6px;">Make recommendations regarding the publication status of the manuscript to the journal editor.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A Doctorate (PhD) or equivalent advanced degree in Soil Science or a closely related discipline.</li> <li style="margin:0 0 6px;">A minimum of 5-10 years of relevant experience.</li> <li style="margin:0 0 6px;">A record of publishing at least 5 papers in SCI/SSCI indexed journals within the past three years.</li> <li style="margin:0 0 6px;">A comprehensive understanding of research methodologies and ethical principles in Soil Science.</li> <li style="margin:0 0 6px;">Excellent analytical and critical thinking abilities.</li> <li style="margin:0 0 6px;">Strong written communication skills, capable of delivering precise and actionable feedback.</li> <li style="margin:0 0 6px;">Demonstrated ability to manage time effectively and adhere to deadlines.</li> <li style="margin:0 0 6px;">A commitment to maintaining objectivity and confidentiality.</li> <li style="margin:0 0 6px;">Prior experience as a peer reviewer for academic journals is highly desirable.</li> <li style="margin:0 0 6px;">Familiarity with online manuscript submission and review systems is advantageous.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Arrangement</h3> <p style="margin:0 0 12px; ************;">This is a part-time, remote position, offering flexibility in terms of work location. The role is structured as a long-term engagement.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Y9 - Y13 Computer Science teacher who will form part of a dynamic and highly successful Department. The position is responsible for teaching Computer Science IGCSE and A level.</p><p>The successful candidate will be expected to:</p><ul><li>Demonstrate a commitment to the safety and security of children and young people ( child protection ).</li><li>Have the ability to teach across the age and ability range.</li><li>Demonstrate the ability to communicate ideas and information clearly and proficiently.</li><li>Have decisiveness in classroom control and managing practicals.</li><li>Plan and deliver lessons in accordance with the goals and objectives of a clearly defined and documented curriculum.</li><li>Prepare students for Cambridge IGCSE Computer Science (0478/0984) with confidence in both theory and practical programming components.</li><li>Deliver Cambridge A Level Computer Science (9618), including supporting students through the pre-release material. and coursework/project components.</li><li>Support students with programming in relevant languages (e.g. Python, pseudocode) appropriate to their stage.</li><li>Contribute to the development and documentation of the KS3 KS5 Computing/CS curriculum.</li><li>Deliver an active, hands-on and student-centred programme to promote learning.</li><li>Demonstrate the ability to work independently and as part of a team.</li><li>Observe, monitor and record student progress with excellent personal administration skills.</li><li>Respond appropriately to the range of individual needs and abilities within the class.</li><li>Have a good grasp of educational technology, computer science and how it is implemented to enhance learning opportunities.</li><li>Be flexible and adaptable to changes with regards to distance learning if necessary.</li><li>Be committed to the pastoral system in the role of form tutor.</li><li>Be committed to supporting student wellbeing and academic care.</li><li>Perform other duties as assigned by the Headteacher and Head of Department.</li></ul><p>The ideal candidate will have:</p><ul><li>University degree* in the subject area of employment (Master s degree preferred).</li><li>Current teacher certification in the required subject area.</li><li>Certification should be from a recognised and nationally recognised institution.</li><li>Classroom teachers should be able to demonstrate relevant experience and certification in teaching similar school programs as the applied for position (preferred).</li><li>Prior experience as a KS4/5 Computer Science teacher.</li><li>Experience with G Suite.</li><li>Familiarity with Python and/or other programming languages relevant to Cambridge specifications.</li><li>Ability to demonstrate a track record of continued professional development.</li><li>Excellent communication skills in English, both verbal and written.</li><li>Good interpersonal skills in interacting with students, parents and colleagues.</li><li>Ability to supervise students in non-classroom settings.</li><li>Ability to work independently and within a team.</li><li>Ability to lead an after-school activity.</li><li>Ability to offer robotics or media after- school activity.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The ideal candidate will have:</p><ul><li>University degree* in the subject area of employment (Master s degree preferred).</li><li>Current teacher certification in the required subject area.</li><li>Certification should be from a recognised and nationally recognised institution.</li><li>Classroom teachers should be able to demonstrate relevant experience and certification in teaching similar school programs as the applied for position (preferred).</li><li>Prior experience as a KS4/5 Computer Science teacher.</li><li>Experience with G Suite.</li><li>Familiarity with Python and/or other programming languages relevant to Cambridge specifications.</li><li>Ability to demonstrate a track record of continued professional development.</li><li>Excellent communication skills in English, both verbal and written.</li><li>Good interpersonal skills in interacting with students, parents and colleagues.</li><li>Ability to supervise students in non-classroom settings.</li><li>Ability to work independently and within a team.</li><li>Ability to lead an after-school activity.</li><li>Ability to offer robotics or media after- school activity.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Data Scientist – Compliance (Banking) to develop, validate, and deploy advanced analytics and machine learning solutions that support regulatory compliance, financial crime prevention, and risk management initiatives within the banking environment.<br> The ideal candidate will combine strong technical expertise in data science with deep knowledge of banking regulations, AML/KYC processes, sanctions screening, and model risk management frameworks.<br> This role requires delivering robust, explainable, and audit-ready models that meet regulatory expectations and business objectives.<br> Key Responsibilities Design, develop, validate, and monitor machine learning and statistical models for compliance, financial crime detection, and risk management use cases.<br> Build predictive and anomaly detection models supporting AML, KYC, sanctions screening, transaction monitoring, customer risk scoring, and fraud detection programs.<br> Ensure all models comply with internal governance standards, regulatory requirements, and model risk management frameworks.<br> Perform model validation, performance testing, stability analysis, bias assessment, and explainability reviews.<br> Develop and maintain comprehensive model documentation, validation reports, and audit-ready artifacts.<br> Collaborate with Compliance, Risk, Financial Crime, Technology, and Data Engineering teams to translate business requirements into analytical solutions.<br> Analyze large-scale structured and unstructured datasets to identify patterns, trends, and emerging compliance risks.<br> Implement model monitoring frameworks, performance dashboards, and periodic model reviews.<br> Support internal audits, regulatory examinations, and independent model validation exercises.<br> Stay current with evolving regulatory requirements, industry best practices, and advancements in AI/ML technologies.<br> Mentor junior data scientists and contribute to the establishment of data science best practices and governance standards.<br> Required Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Finance, or a related quantitative discipline.<br> 6–8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within Banking or Financial Services .<br> Strong programming expertise in Python and SQL .<br> Hands-on experience with machine learning libraries and frameworks including scikit-learn , XGBoost , PyTorch , and/or TensorFlow .<br> Experience developing and validating classification, anomaly detection, forecasting, and risk-scoring models.<br> Strong understanding of Model Risk Management (MRM) frameworks, model governance, and validation methodologies.<br> Knowledge of banking regulatory requirements and compliance controls.<br> Experience working with cloud and big-data ecosystems is an advantage.<br> Domain Expertise Anti-Money Laundering (AML) Know Your Customer (KYC) Customer Due Diligence (CDD) / Enhanced Due Diligence (EDD) Sanctions Screening Transaction Monitoring Financial Crime Risk Management Regulatory Compliance and Reporting Preferred Skills Experience with explainable AI (XAI) techniques and model interpretability tools.<br> Knowledge of regulatory expectations related to AI/ML model governance in financial institutions.<br> Familiarity with MLOps, model deployment, monitoring, and lifecycle management.<br> Strong analytical thinking, problem-solving, and stakeholder management skills.<br> Excellent communication and documentation abilities with experience presenting to risk, compliance, audit, and senior leadership teams.<br> Success Metrics Delivery of compliant, accurate, and explainable machine learning models.<br> Successful completion of model validation and regulatory reviews.<br> Reduction in false positives and improved detection effectiveness in compliance programs.<br> High-quality audit-ready documentation and governance adherence.<br> Effective collaboration with Compliance, Risk, and Technology stakeholders.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Collects, analyzes, and interprets data to improve workplace safety, environmental performance, and regulatory compliance. Conducting risk assessments, investigating incidents, preparing compliance reports, developing and delivering training, and collaborating with teams to implement safety initiatives and reduce hazards. This role requires a strong understanding of HSE regulations and data analysis to provide insights that support management decisions and promote a safety-first culture. EHS analyst provides support in planning, implementation and monitoring of environmental, health, and safety programs and policies to ensure compliance. Track Environmental, Health and Safety metrics including Quarterly KPIs and PPE Acknowledgement submissions. Conduct formal and systematic reviews of campus operations and activities to ensure compliance with regulations. Responsible for the accuracy and auditing of all Safety related statistics. Track safety, health and Environmental audit documents. Work with affected departments to coordinate, implement and maintain employee / trainee injury prevention strategies and program(s) Provide hazard analysis, program customization, training and EHS support to activities within the organization, creative services and scripted television production activities. Support the maintenance of EHS database of accidents and incidents. Support site in achieving EHS targets C objectives. Track all the HSE related contracts' submissions. Organize and track HSE Campaigns. HSE Records and Files control and management</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Relevant degrees such as bachelor's degree in engineering, Industrial, Safety, Health, Environmental Science</li><li>Also, certificates in HSE Fields</li><li>Desired experience for HSE analysts includes: 3-5 years in similar field</li><li>Skills for HSE Analyst: Microsoft Office</li><li>Fluent in English Language (Speaking, Writing, Reading)</li><li>OSHA / NEBOSH local safety regulations</li><li>EHS policies, standards and compliance</li><li>Environmental Health</li><li>Fire Systems</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden. The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions. Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow Key Accountabilities: 1. Lead End-to-End Data Science Delivery Developing, implementing and maintaining databases and data collection systems Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover. Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards. Performing statistical analysis to understand and interpret data insights Applying data mining techniques to identify patterns, trends, and relationships in large datasets Building predictive models and machine learning algorithms to forecast future outcomes Creating clear data visualizations and reports to communicate findings to stakeholders Working with cross-functional teams to understand business needs and provide data-driven solutions Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use Ensuring data security and compliance with relevant regulations Drive experimentation, model versioning, automated retraining, and continuous improvement. 2. Translate Business Needs into AI/Analytics Solutions Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases. Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 3. Industrialize AI/ML Models (ML Ops &amp; Architecture) Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers. Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance. Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 4. Responsible AI, Quality &amp; Governance Ensure compliance with Maaden s Responsible AI, data quality, and data governance frameworks. Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets. Ensure transparency, explainability, and continuous model governance across production and enterprise environments 5. Stakeholder Management &amp; Value Realization Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization. Track value realization, adoption metrics, and operational impact to ensure measurable benefit.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.</li><li>Minimum Experience: 6+ years experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) Microsoft AI Factory</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.</li><li>Machine Learning &amp; Advanced Analytics Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases</li><li>Strong understanding of model performance, validation, stability, and business impact</li><li>Generative AI &amp; AI Agents Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency</li><li>Good to Have Capabilities Data Engineering (IT + OT) Experience designing and maintaining data pipelines across IT and OT environments Exposure to sensor data, streaming / real-time data processing , and industrial data sources Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows</li><li>MLOps / AgentOps Experience in model deployment and lifecycle management , including: Transition from model development to production and scale Monitoring, retraining, versioning, and drift management Familiarity with automation and operationalization of ML/AI workloads</li><li>Preferred Experience &amp; Platforms Cloud &amp; Analytics Platforms Experience working with enterprise cloud platforms, preferably: Microsoft Azure Data Platform Databricks AI Platform Microsoft AI Foundry / Microsoft AI Factory Understanding of cloud-native architectures for scalable analytics and AI solutions</li><li>Core Competencies: Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities.<br> The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.<br> Education Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required).<br> Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.<br> Experience Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management.<br> Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures.<br> Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.<br> Required Qualifications Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.<br> 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics.<br> Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures.<br> Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures.<br> Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms.<br> Strong understanding of data governance, metadata management, master data management, and data quality frameworks.<br> Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.<br> Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices.<br> Strong stakeholder management, communication, and leadership skills.<br> Preferred Certifications TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Technical Competencies Enterprise Data Architecture Data Governance &amp; Data Quality Master Data Management (MDM) Metadata Management &amp; Data Catalog Data Warehousing &amp; Data Lakes Lakehouse Architecture AI &amp; Generative AI Architecture Machine Learning &amp; MLOps Enterprise Integration &amp; APIs Security, Privacy &amp; Compliance Analytics &amp; Business Intelligence Architecture Governance DevSecOps &amp; CI/CD for AI</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>While each project involves unique tasks, contributors may: </p> <ul> <li>Design rigorous Computer Science problems reflecting professional practice; </li> <li>Evaluate AI solutions for correctness, assumptions, and constraints; </li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy); </li> <li>Improve AI reasoning to align with industry-standard logic; </li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <p>This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. </p> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> em&gt; strong&gt;Please submit your CV in English and indicate your level of English proficiency. /strong&gt; /em&gt; </p> <p>This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: </p> <ul> <li>Degree in Computer Science or related fields. </li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. </li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable. </li> <li>Strong written English (C1+) .</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul><p></p></section>

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.

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

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apply today at Hitachi Energy Full time in Dammam, Saudi Arabia in our Engineering &amp; Science department and be part of a diverse and collaborative team. Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all</p> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>Divisional Product Development Manager (Premier Foods)</span></strong></p><br><br> <br> <p><strong><span>The Company&nbsp;</span></strong></p><br><br> <br> <p><span>Founded in 1977, Almarai Company is the world’s largest vertically integrated dairy company and the largest food and beverage manufacturing and distribution company in MENA. Headquartered in Riyadh, Almarai Company is ranked as the number one FMCG Brand in the MENA region and the market leader in all its categories across GCC, Egypt, and Jordan.</span></p><br><br> <br> <p><span>Over five decades of sustainable growth, Almarai has consistently provided nutritious and healthy products to consumers of all ages, driven by its core principle: “Quality you can trust.”</span></p><br><br> <br> <p><span>Almarai has expanded its product range to include, in addition to dairy products, juices and beverages, baked goods, poultry, infant formula, dates, fish and seafood, and bottled water, under more than 20 brands such as Almarai, L’usine, 7DAYS, ALYOUM, Nuralac, Farm’s Select, Ice Leaf, Almira, Seama, Oska, IVAL, Almarai Pro, Premier Chef, Bakemart, and others. </span></p><br><br> <br> <p><span>Almarai currently employs over 46,000 Quality Makers, across the GCC, Egypt &amp; Jordan. &nbsp;&nbsp;In 2025, Almarai reported net income of SAR 2.4 billion on sales of SAR 22 billion.</span></p><br><br> <br> <p><span>An aggressive expansion program together with acquisitions in new vertical markets have created an exciting opportunity to join a dynamic multinational team dedicated to furthering growth plans for the group.</span></p><br><br> <br> <p><strong><span>The Opportunity</span></strong></p><br><br> <br> <p><span>The </span><strong><span>Divisional Product Development Manager</span></strong><span> (Premier Foods) will lead the end</span><span>‑</span><span>to</span><span>‑</span><span>end development of new products and the enhancement of existing lines. You will ensure projects are executed to the highest standards — delivering quality, innovation, and commercial success.&nbsp; </span></p><br><br> <br> <p><span>He will be responsible for driving new product development from concept to commercialization. You will create innovative formulations, explore new ingredients and technologies, and ensure that every product meets Almarai’s standards of quality, safety, and excellence.</span></p><br><br> <br> <p><span>He will collaborate cross</span><span>‑</span><span>functionally with Manufacturing, Quality, Engineering, Supply Planning, Sales, Marketing and other key teams to bring new product concepts to market efficiently and effectively.</span></p><br><br> <br> <p><strong><span>Qualifications:</span></strong></p><br><br> <ul> <li><span>Bachelor’s Degree in Food Science, Microbiology, Meat Science, Animal Science, Chemistry, or a closely related field.</span></li> <li><span>Additional certifications in HACCP or quality systems are advantageous</span></li> <li><span>Strong mastery of protein science, processing, marination, ingredient functionality, and added-value meat products formulation.</span></li> <li><span>Technical proficiency across multiple product categories and complex production environments.</span></li> <li><span>Proven experience applying scientific research principles, conducting data analysis, and solving technical challenges.</span></li> <li><span>Demonstrated success launching new meat / protein products and bringing concepts to market.</span></li> <li><span>Familiarity with food industry regulations and compliance requirements.</span></li> </ul> <br> <p><span>If you are passionate about driving initiatives, optimizing processes, and making a strong impact in a fast-paced food manufacturing environment, we encourage you to apply.</span></p><br><br> <br> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 5+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <span></span></span><p>.</p><br><b>Job Duties</b> <br>Under general supervision, has good knowledge and understanding of applicable science and technology, gained through formal education and work experience. Working with customers, demonstrates knowledge of existing and emerging technology and product areas. Communicates to individual clients how the use of technology solutions allow them to be more productive. Is able to articulate and apply solution for assignment delivery. As an individual contributes to project teams. Effectively plans and manages own workload to meet desired service level targets. Maintains a consistent client-focused approach with clients and/or individuals. Requires completion of an undergraduate degree in engineering, geoscience, computer science or business and a minimum of 3 years of experience.<br><br><b>Qualifications</b> <br><br><br><p>.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>