Model Jobs in Saudi

Role Title: Arabic Language Expert<br><br>Role Type: Contractor<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)<br><br>Skills: training,models,english,translation,data,arabic

Role Title: Arabic Language Expert<br><br>Role Type: Contractor<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)<br><br>Skills: training,models,english,translation,data,arabic

Role Title: Arabic Language Expert<br><br>Role Type: Contractor<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)<br><br>Skills: training,models,english,translation,data,arabic

Role Title: Arabic Language Expert<br><br>Role Type: Contractor<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)<br><br>Skills: training,models,english,translation,data,arabic

Role Title: Arabic Language Expert<br><br>Role Type: Contractor<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)<br><br>Skills: training,models,english,translation,data,arabic

<p>We are seeking a highly skilled <strong>BIM Coordinator – Architecture</strong> to lead the coordination, quality control, and management of architectural BIM models across multidisciplinary projects. This role is essential in ensuring model accuracy, compliance with BIM standards, and smooth collaboration between architecture, structure, landscape, and infrastructure teams.</p><p>The ideal candidate will play a key role in model federation, clash detection, BIM workflow implementation, and technical support across project teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><ul><li>Coordinate BIM models across architectural, structural, landscape, and infrastructure disciplines</li><li>Ensure effective integration of design information across all project stakeholders</li><li>Review and maintain BIM models to ensure compliance with project BIM standards, LOD requirements, and naming conventions</li><li>Monitor model quality, consistency, and data integrity throughout the project lifecycle</li><li>Perform clash detection using Navisworks and coordinate with design teams to resolve identified issues</li><li>Track clashes, follow up on actions, and support timely resolution</li><li>Manage model federation and support interdisciplinary coordination reviews</li><li>Lead or participate in coordination meetings with consultants, contractors, and internal teams</li><li>Support the production of drawings, schedules, and reports directly from BIM models</li><li>Prepare BIM coordination reports and highlight key technical issues, risks, and action items</li><li>Assist in the development and implementation of <strong>BIM Execution Plans (BEP)</strong>, workflows, and project-specific BIM procedures</li><li>Ensure alignment with internal BIM standards and client requirements</li><li>Maintain BIM content libraries, templates, families, and standards for consistent project delivery</li><li>Provide technical support and guidance to project teams on BIM tools, workflows, and best practices</li><li>Support continuous improvement in BIM processes and coordination efficiency</li></ul><p><br></p><p><strong>Requirements &amp; Qualifications</strong></p><p><br></p><ul><li>Bachelor’s degree in <strong>Architecture</strong> or a related field</li><li><strong>5–8 years of experience</strong> in BIM coordination and architectural design</li><li>Strong hands-on experience with <strong>Autodesk Revit</strong> and <strong>Navisworks</strong></li><li>Good working knowledge of <strong>Autodesk Construction Cloud</strong> or <strong>BIM 360</strong></li><li>Proven experience coordinating <strong>multidisciplinary and large-scale projects</strong></li></ul><p><br></p><p><strong>Core Competencies</strong></p><p><br></p><ul><li>Strong multidisciplinary coordination and clash resolution skills</li><li>Solid understanding of BIM standards, LOD requirements, and model workflows</li><li>Strong technical and analytical skills in BIM model management</li><li>Excellent communication and coordination skills with consultants and project teams</li><li>Strong time management skills with the ability to handle deadlines and coordination cycles</li></ul><p><br></p>

<p>As an AI &amp; Machine Learning Consultant , you will design, develop, and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations unlock business value through advanced analytics and intelligent automation. You will work across the AI development lifecycle, leveraging cloud-based AI services, Generative AI technologies, and scalable data platforms to deliver innovative, production-ready solutions. This role combines technical expertise, problem-solving, and collaboration to accelerate AI adoption and drive business outcomes.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using cloud-native AI platforms, services, and modern development frameworks.</li><li>Build and maintain scalable data pipelines to support data ingestion, model training, deployment, monitoring, and production operations.</li><li>Apply DevOps and MLOps practices to automate and optimize model development, deployment, versioning, and lifecycle management.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.</li><li>Assess business needs, data availability, and infrastructure requirements to recommend and implement effective AI solutions.</li><li>Support AI deployments across cloud environments, edge computing platforms, and High-Performance Computing (HPC) infrastructures where applicable.</li><li>Conduct research and experimentation on emerging AI technologies, algorithms, simulation techniques, and advanced analytical methods.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve model performance.</li><li>Design and maintain efficient data, model, and knowledge storage solutions that enable scalable AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, solution architects, and business stakeholders to design and deliver enterprise-grade AI solutions.</li><li>Evaluate model performance and communicate solution quality, scalability, and business value through measurable outcomes.</li><li>Ensure AI solutions adhere to security, governance, compliance, and Responsible AI standards.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Analytics, Data Engineering, or related technical disciplines.</li><li>Hands-on experience developing, testing, and deploying AI/ML solutions in enterprise environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics techniques.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building scalable data pipelines and supporting MLOps practices for model deployment and operations.</li><li>Strong understanding of data preprocessing, feature engineering, model evaluation, and performance optimization methodologies.</li><li>Experience developing and deploying Generative AI, LLM-based applications, and intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing model monitoring, observability, and production support processes.</li><li>Strong analytical thinking, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Technologies are preferred.</li></ul>

Role: AI Solution Architect - Industrial AILocation: Riyadh, KSAExperience : 10+ Years<br>Must-Have:-Designed, developed, and deployed Machine Learning and Deep Learning models for industrial challenges involving large-scale numerical, categorical, and time series data, as well as images and videos. Extensive experience in Python programming for statistical analysis, custom algorithm development, and business insight generation using ML/DL models. Proficient in optimization techniques including Genetic Algorithms, Linear and Quadratic Programming, and others Skilled in comprehensive data workflows: collection, exploratory analytics, data cleansing, feature selection, and model validation. Experience in deploying AI/ML solutions using MLOPs on cloud platforms such as Azure and AWS. Solid knowledge of NLP, Large Language Models, Retrieval-Augmented Generation, and ML algorithms such as Decision Trees, Clustering, Support Vector Machines, Artificial Neural Networks, LSTM, CNN, and YOLO, with awareness of their practical advantages and limitations. Motivated by continuous learning and mastery of emerging technologies and methodologies in the fields of artificial intelligence and machine learning.<br>Good-to-Have. Experience in Oil & Gas, refinery, asset monitoring or other process industries. Exposure to Gen AI, AI agents, RAG, knowledge graphs or hybrid physics-ML modelling. Knowledge of MLOps platforms, drift detection and responsible AI practices.<br>Responsibilities / Expectations from the Role1 - Develop AI/ML models for process deviation detection, equipment performance, predictive insights, yield estimation and optimization support.2 - Work with the Refinery Process SME to convert engineering logic and operational scenarios into model features, rules and evaluation criteria.3 - Perform data exploration, feature engineering, model training, validation, tuning and explainability analysis.4 - Deploy models into real-time or on-demand workflows and integrate outputs with alerts, dashboards, reports and recommendation services.5 - Implement model monitoring, versioning, retraining, drift detection and performance reporting across the model lifecycle.6 - Document assumptions, datasets, validation results and limitations, and support user acceptance testing and production stabilization.

<p><br></p><p>Reporting &amp; Deliverables</p><p>The Senior Groundwater Modeler reports to the Program Team Leader and is accountable for the Model Assessment Report, conceptual and preliminary models, twelve calibrated child models, sensitivity and validation reports, calibration and scenario reports, the reliability report, the 2050 Master Plan and action plan, the decision-support emulator, and the Task Completion Report each delivered per the project milestone schedule and to the client s acceptance.</p><p><b>Core Responsibilities</b></p><p>Model Assessment, Conceptualization &amp; Preliminary Models</p><ul><li>Assess and select the model suite (water-balance, groundwater, 1D dewatering/wastewater/water-supply, 2D-overland, integrated) and document a Model Assessment Report for client approval.</li><li>Consolidate the Riyadh hydrogeological conceptual model (regional hydrostratigraphy, gaining/losing wadi behavior, fracture corridors, urban recharge/drainage) defining layout, model area and input parameters</li><li>Select and secure approval of open-source modeling software provided to the client free of license cost; build preliminary (uncalibrated) models to expose data gaps and inform the survey plan.</li></ul><p>Neighborhood Child Models &amp; Recharge</p><ul><li>Develop twelve high-resolution child models one per water-balance area nested in the regional parent to quantify urban recharge and produce a defensible city-wide recharge parameterization.</li><li>Calibrate child models against groundwater levels, drainage flows and water-balance consistency, focusing on leakage fractions, hydraulic conductivity and drain conductance.</li></ul><p>Sensitivity, Detailed Construction &amp; Validation</p><ul><li>Run sensitivity analysis on all input parameters (local Jacobian-based and global ensemble screening) to rank controls and prioritize data acquisition.</li><li>Construct the detailed integrated models and validate them against existing observations and known system behavior prior to calibration.</li></ul><p>Integrated Dewatering, Network &amp; Overland-Flow Modeling</p><ul><li>Couple the groundwater core to 1D dewatering pipes/canals (CLN / DRN / RIV) and represent water/storm/sewer network leakage so groundwater response to each network is explicitly defined.</li><li>Route rainfall-runoff via 2D-overland or lumped elements for pluvial-flood and early-warning assessment.</li></ul><p>Measures, Mega-Structures, Calibration &amp; Reliability</p><ul><li>Assess individual dewatering measures and combine effective ones into approved scenarios, incorporating climate-change impacts.</li><li>Build dedicated sub-models for the Riyadh Metro (~50 stations to ~40 m) and other deep structures, capturing barrier/drain effects and construction dewatering.</li><li>Calibrate detailed models after the first monitoring year using PEST++ regularized inversion; document every calibration step and justify any unmet criteria.</li><li>Run the preferred scenario and deliver a reliability (uncertainty) analysis reporting P5/P50/P95 predictive bounds.</li></ul><p>Master Plan, Emulator, Handover &amp; Training</p><ul><li>Produce the 2050 Master Plan: five-year-interval level predictions, critical-area identification, a five-year rolling mitigation project list, and an adaptive management tool.</li><li>Deliver the governance-controlled decision-support emulator (stress-only interface on the calibrated model with archived, traceable runs).</li><li>Install and test all models and software at the client s head office, verify reproducibility, and train up to five client staff; assess the real-time early-warning system approach.</li></ul><p>Technical Environment</p><p>The delivered stack is open-source and free of license cost:</p><ul><li>Groundwater core: MODFLOW-USG (unstructured grid, Newton solver, CLN package).</li><li>Automation &amp; coupling: Python / FloPy.</li><li>Calibration &amp; uncertainty: PEST++ (IES / ENSI ensemble methods).</li><li>Surface/network: 1D/2D representation within MODFLOW-USG (CLN/DRN/RIV) or an approved coupled code.</li><li>Deliverable formats: PDF plus editable Word/Excel; GIS/CAD (ArcGIS/AutoCAD, WGS 1984); Primavera schedules.</li></ul><p><b>Key Competencies</b></p><ul><li>Technical depth: Independent construction, calibration and validation of regional + nested urban groundwater models in complex carbonate/fractured settings.</li><li>Uncertainty: Fluency in ensemble methods and risk-informed reporting of predictive bounds for decision-making.</li><li>Integration: Ability to couple groundwater with piped-network and overland-flow systems rather than treating recharge as assumed.</li><li>Tooling: Strong Python/FloPy scripting for reproducible, automated, auditable workflows.</li><li>Delivery: Review-ready documentation, adherence to the project sequence, and on time milestone delivery.</li><li>Communication: Client engagement, workshop support, and effective training of non-specialist staff.</li></ul><p>Minimum Qualifications &amp; Experience</p><p>A minimum of fifteen (15) years of professional experience in regional and nested numerical groundwater modeling is required. Candidates below this threshold will not be considered.</p><ul><li>15+ years delivering regional and nested (parent child) groundwater models for government, urban-water, mining or infrastructure projects.</li><li>Postgraduate degree (MSc or PhD preferred) in hydrogeology, hydrology, water resources or a closely related discipline.</li><li>Demonstrated expertise in MODFLOW-USG (or an approved equivalent): unstructured-grid support, Newton solver, and the Connected Linear Network (CLN) package for 1D pipe/canal coupling.</li><li>Proven PEST++ highly-parameterized ensemble calibration and uncertainty analysis (IES / ENSI); reporting predictive uncertainty as P5 / P50 / P95 bounds.</li><li>Hands-on Python / FloPy automation for model construction, coupling, batch execution and post-processing across multiple child models.</li><li>Direct experience with carbonate, fractured and urban aquifer systems and representing infrastructure leakage and drainage as explicit model stresses.</li><li>Experience building governance-controlled emulators / decision-support tools for non specialist users, with protected calibrated parameters and full run auditability.</li><li>Track record of client-facing delivery, review-ready model documentation, and training of client staff.</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Kanz <br>Job Description<br>Design, build, and deploy AI/ML solutions that deliver measurable business value for products and services in Riyadh. Key Performance Indicators: • Deliver production-ready AI models • Improve model accuracy and reliability • Automate ML pipelines end-to-end • Ship AI features on schedule • Document and monitor model performance Qualifications: • 5+ years of AI/ML engineering experience • Hands-on experience with deep learning • Strong software engineering and MLOps practices • Experience deploying models to production • Bachelor’s/Master’s in Computer Science or related field<br>Qualifications<br> Required Qualifications <ul><li>5+ years of AI/ML engineering experience</li><li>Hands-on experience with deep learning</li><li>Strong software engineering and MLOps practices</li><li>Experience deploying models to production</li><li>Bachelor’s/Master’s in Computer Science or related field</li><li>Python</li><li>PyTorch or TensorFlow</li><li>Machine learning</li><li>NLP and computer vision</li><li>MLOps (Docker, CI/CD)</li><li>Model deployment (APIs)</li><li>Data engineering and feature engineering</li><li>Problem-solving</li><li>Ownership and accountability</li><li>Cross-functional collaboration</li></ul> <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"> 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"> <span>About the company Our client does AI match analysis for youth football.<br> Fixed cameras at the pitch record every session.<br> The models detect the events (passes, shots, goals), track the players, and read jersey numbers off low-res footage.<br> Academies and parents get match stats, highlights and a per-player record.<br> This is running today at a pilot academy in Dubai, on real matches, with paying pilots.<br> They are now taking the same stack into a second industry.<br> First customers are committed; details in conversation.<br> This hire owns the platform across both: making the live sports models better, and building the new product on the same foundations.<br> What you own • The shared CV platform, end to end: camera ingestion, detection and tracking, OCR, classification, and the reporting pipeline.<br> It powers a product in production today and a second one launching.<br> • From week one you ship to a live product: raising accuracy on the sports models with real users, while architecting the second industry's deployment on the same stack.<br> • Architecture: model selection and training strategy, annotation and dataset operations, evaluation methodology, the on-prem/cloud split.<br> • Shipping the new industry's first deployments, then hardening both products as one platform.<br> • Technical leadership of the engineering team we build under you.<br> Hiring process • Intro conversation: walk us through a CV system you built.<br> Decisions, failures, numbers.<br> • Technical deep-dive with senior engineers.<br> • Case study on real footage: spec and prototype a detection task.<br> • Founders' conversation, then offer.<br> The whole process inside two weeks for the right person Full-time.<br> Remote friendly: we hire the best person, not the nearest.<br> Working hours overlapping the Gulf, with travel to Dubai for installation and milestone weeks.<br> Competitive package plus options.<br> What we need to see • 5+ years building computer vision systems that ran in production.<br> Deployed systems with users, not notebooks.<br> • Strong Python and PyTorch, hands-on with modern detection and tracking (YOLO family, ByteTrack/DeepSORT or similar).<br> • Video pipeline experience: RTSP/IP cameras, scheduled or streaming inference, ffmpeg-level fluency.<br> • You have built datasets, run annotation operations, and measured models honestly against ground truth.<br> • You have fine-tuned open-source models (detection, OCR of the PaddleOCR/TrOCR class) and taken the next step: replacing them with your own models trained on validated annotations, with a working annotation-review loop.<br> • Fluent in the modern CV tooling ecosystem: Roboflow or equivalent for dataset and annotation operations, experiment tracking, model registries.<br> • Ownership temperament: you take a vague operational goal and return a working system without waiting for a spec.<br> Strong pluses • OCR, action recognition or pose estimation in production.<br> • Sports, retail, industrial or facility camera-analytics background.<br> • Edge deployment (Jetson or similar) and cost engineering of inference.<br> • Camera and IoT literacy: sensor and lens selection, PoE networking, ONVIF/RTSP, NVRs, weatherproof housings.<br> You can spec a site, not just a model.<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>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer - Large Language Models based in Saudi Arabia.<br><br>Join a highly collaborative and innovation-driven environment where you'll help shape the future of AI-powered healthcare solutions. In this role, you'll design, optimize, and deploy advanced Large Language Models that support real-world applications across healthcare and life sciences. Working alongside multidisciplinary experts in machine learning, software engineering, and scientific domains, you'll contribute to cutting-edge AI initiatives with meaningful impact. This is an opportunity to solve complex technical challenges, leverage state-of-the-art technologies, and influence the development of production-ready AI systems. If you're passionate about LLMs, deep learning, and delivering scalable machine learning solutions, this role offers an exciting platform to grow your expertise while contributing to transformative projects.<br><br>Accountabilities<br><br>Fine-tune and optimize Large Language Models for a variety of healthcare and life science applications using techniques such as Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (PEFT), Direct Preference Optimization (DPO), and Proximal Policy Optimization (PPO). Develop and enhance Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy, relevance, and efficiency of AI-powered information retrieval systems. Collect, prepare, clean, and curate high-quality datasets to support the training, evaluation, and continuous improvement of machine learning models. Convert, optimize, and package AI models for production deployment across different serving environments while ensuring scalability and performance. Collaborate with cross-functional teams to build, evaluate, and deploy robust deep learning solutions that address complex healthcare challenges. Stay up to date with emerging advancements in LLMs, machine learning infrastructure, and AI engineering best practices to continuously improve model performance and reliability.<br><br>Requirements<br><br>At least 5 years of professional experience developing production-grade software engineering and deep learning solutions. Degree in Computer Science, Data Science, Machine Learning, or a related technical field; a Master's or Ph. D. is strongly preferred. Proven experience working with Large Language Models, including model fine-tuning and optimization techniques. Hands-on expertise with frameworks such as Axolotl and strong knowledge of Transformer-based architectures. Experience with machine learning frameworks, particularly PyTorch. Familiarity with model serving technologies such as v LLM, Text Generation Inference (TGI), and llama.cpp. Understanding of model quantization techniques and performance optimization for resource-constrained environments. Strong problem-solving, collaboration, and communication skills with the ability to work effectively in distributed teams. Passion for AI innovation and applying machine learning to impactful real-world use cases.<br><br>Benefits<br><br>Fully remote work environment with collaboration across an international team. Competitive compensation package. Opportunity to work on cutting-edge AI and Large Language Model technologies. Continuous learning and professional development opportunities. Exposure to impactful projects within healthcare, life sciences, and open-source AI. Inclusive, diverse, and collaborative workplace committed to equal opportunity and fair hiring practices.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<p>Parsons is seeking a highly specialized and experienced BIM Manager to join our critical team on the prestigious Qiddiya Project in Riyadh. The BIM Manager develops and maintains detailed digital models using Building Information Modelling (BIM) software to ensure alignment with architectural, engineering and project precision and compliance requirements. This role implements and oversees BIM processes and standards, leads modelling technical excellence for the team and provides guidance and support to staff on all BIM related matters. With approximately 10 years of experience, the BIM Manager acts as the primary technical authority for model development, quality assurance and digital coordination across projects.</p><p>What you'll be doing:</p><ul><li>Develop, maintain and define efficient plans and solutions for complex digital models using BIM software, ensuring alignment with architectural, engineering and project precision and compliance requirements.</li><li>Oversee BIM functionalities, practices and procedures for assigned projects; provide BIM expertise and guidance and confirm BIM accessibility and data accuracy through regular quality reviews/checks.</li><li>Manage technical excellence in model delivery, including guidance for team/support staff, preparation of model assurance reports, drafting special provisions and reviewing models for compliance with standards and project requirements.</li><li>Lead complex plan and model production by applying a risk averse approach while reviewing models and proposals, and recommending mitigation measures for identified risks.</li><li>Lead efforts to streamline and optimise existing BIM processes and workflows, guiding task execution, team coordination and solution efficiency.</li><li>Provide input for delivery estimates and implement standard practices, resources and templates for developing model and drawing deliverable estimates.</li><li>Serve as subject matter expert and primary contact to client(s) on all technical modelling and BIM process matters.</li><li>Manage hardware, software and database maintenance schedules and tasks related to BIM and CAD environments to maintain optimal performance and reliability.</li><li>Participate in budget and cost forecasting analysis for BIM related activities in support of the management team.</li><li>Collaborate with project teams for effective model integration across disciplines (architecture, structure, MEP, civil, systems).</li><li>Provide BIM related input to clients and other parties working on the same project, ensuring consistent and coordinated digital delivery.</li><li>Support preparation of competitive technical and commercial proposals, providing BIM methodology, scope, resource and risk input; review, identify and propose mitigation for BIM related risks within the proposed scope.</li><li>Generate detailed BIM reports, including key performance indicators (KPIs), model quality metrics and coordination status.</li><li>Perform in an advisory capacity to senior management on BIM strategy, tools, workflows and resourcing.</li><li>Perform other responsibilities associated with this position as may be appropriate.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s Degree in a relevant discipline (Architecture, Engineering or related field), or equivalent work experience. Approximately 1 0 years of related work experience in BIM modelling, coordination or digital delivery, including several years in a lead or management capacity. Ability to clearly define and provide technical guidance on BIM queries to clarify scope ambiguities and modelling requirements. Proven skill in developing complex designs, plan details and modelling activities using BIM tools. Ability to perform in an operational lead capacity for model development and production management. Ability to supervise modelling plan production, detailing and use of advanced modelling software. Experienced in reviewing output, assessing production capacity and capability, and using checklists/reports to apply and refine advanced modelling principles. Ability to communicate modelling technical and non technical subjects clearly with management, engineering and production staff. Expert knowledge of core BIM software packages and workflows (e.g. Autodesk Revit A u t o d es k R e v i t and related tools). Strong management and communication skills, with the ability to coordinate multiple model authors and stakeholders. Ability to develop baseline schedules for modelling tasks at the start of each assignment, track team progress against task assignments, coordinate staffing plans, develop comprehensive training plans and guide staff to produce well organised deliverables. Expert understanding of Quality Assurance and Quality Control practices for BIM; able to guide the team in implementing QA/QC procedures. Proficiency in conducting model production and assessing task team capacity and capability. Proficiency in implementing clash detection and coordination within single disciplines, with awareness of multidisciplinary coordination requirements. Ability to stay engaged with current technology and industry trends as they apply to BIM, CAD and common data environments. Ability to provide advanced support, lead and direct staff in using Common Data Environments (CDE) (e.g. ProjectWise , Autodesk Construction Cloud A u t o d es k C o n s t r u c t i o n C l o u d ), CAD and BIM software. Expert proficiency in essential BIM and CAD processes and best practices in development, compliance and implementation. Experience supervising catalogue compliance, development and use (e.g. 2D symbology, families, parametric components, parts, sub assemblies).</p><p>BIM related certification (e.g. Autodesk A u t o d es k Certified Professional, recognised BIM Manager certification) is preferred.</p>

Overview: <br>The Industrial AI Expert is responsible for designing, developing, deploying, and managing advanced Industrial AI solutions across multiple industrial domains and use cases. The role serves as a subject matter expert in Industrial AI, applying deep technical expertise to build scalable, production-ready AI applications that improve operational performance, reliability, safety, and efficiency. The position focuses on the end-to-end engineering lifecycle of Industrial AI products, including solution architecture, model development, deployment, integration, monitoring, and continuous optimization. The role collaborates closely with cross-functional teams and provides technical guidance and knowledge sharing while remaining an individual contributor without direct people management responsibilities.<br>Key Responsibilities:<br>• Design, develop, deploy, and maintain Industrial AI applications and products across diverse industrial use cases and operational environments.• Engineer and implement AI and machine learning solutions for predictive maintenance, anomaly detection, frontline diagnostics, corrosion prediction, production optimization, and energy optimization.• Develop intelligent digital assistants and autonomous operational workflows that enhance industrial decision-making and operational efficiency.• Translate business requirements and operational challenges into scalable, production-grade AI solutions and technical architectures.• Design and implement data pipelines, feature engineering processes, and model deployment frameworks that support reliable AI operations.• Integrate AI solutions with industrial systems, operational technologies, and enterprise platforms while ensuring interoperability and scalability.• Monitor model performance, manage model lifecycle activities, and continuously optimize solutions to maintain accuracy and business value.• Apply MLOps and AI engineering best practices to improve solution reliability, maintainability, and deployment efficiency.• Conduct technical assessments, proof-of-concepts, and feasibility studies for emerging Industrial AI technologies and use cases.• Troubleshoot complex technical issues and provide expert guidance on AI solution design, implementation, and optimization.• Contribute to engineering standards, reusable frameworks, and best practices to promote technical excellence and knowledge sharing across teams.• Collaborate with domain experts, data engineers, product teams, and business stakeholders to ensure successful solution delivery and adoption.<br>Qualifications:<br>Education:• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, Industrial Engineering, or related discipline (Master is preferred)• Professional certifications in Artificial Intelligence, Machine Learning, Cloud Platforms, Data Engineering, or MLOps are advantageous.<br>Experience:• 8–12 years of experience software engineering, data science, artificial intelligence, or machine learning engineering.• Demonstrated experience in developing and deploying Industrial AI solutions in industrial, manufacturing, energy, utilities, or asset-intensive environments.• Hands-on experience across the full AI solution lifecycle, from data acquisition and model development to deployment and operational monitoring.• Experience delivering production-grade AI

We are looking for a skilled Civil 3D Roads Operator to join our team and support the delivery of major road and infrastructure projects.<br>Key Responsibilities:Create and manage road alignments, profiles, and assemblies in Autodesk Civil 3D. Develop corridor models and generate cross-sections. Prepare road design drawings and engineering deliverables. Model intersections, roundabouts, and road widening schemes. Perform earthwork analysis and quantity calculations. Coordinate road models with utilities, drainage, and structural elements. Support engineers in developing and optimizing road designs. Ensure compliance with project BIM standards and design requirements. Participate in design reviews and model coordination meetings.<br>Qualifications & Experience:Diploma or Bachelor's Degree in a relevant field. Extensive experience in road corridor modeling using Autodesk Civil 3D. Strong understanding of road geometry and highway design principles. Ability to generate construction-ready road design deliverables. Experience working on infrastructure, transportation, or highway projects. Familiarity with BIM workflows and multidisciplinary coordination is an advantage. Strong communication and teamwork skills.<br>If you have a passion for road design and Civil 3D modeling and are looking to work on challenging infrastructure projects, we'd love to hear from you.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br><b> Role Overview </b> <br> <br> The Trainee - Financial Planning &amp; Performance will support the Planning &amp; Reporting team. This entry-level role is designed to provide hands-on exposure to core financial planning, forecasting, and performance reporting activities. The trainee will assist in executing day-to-day processes and will develop a strong foundation in financial analysis and management reporting. <br><b> Key Responsibilities: </b> <br><b>Monthly Forecast &amp; OPEX Reporting</b> <br>• Assist in collecting and organizing actual financial data from Financial Reporting and Commercial teams. <br>• Support data validation and alignment checks against the income statement. <br>• Help input and maintain data in forecasting model templates monthly. <br>• Assist in consolidating data into the central forecast model and preparing draft outputs for review. <br><b>Annual Operating Plan (AOP)</b> <br>• Support the preparation and distribution of AOP submission templates to departments. <br>• Assist in consolidating departmental inputs into the central AOP model. <br>• Help reconcile AOP submissions against historical actuals and latest forecasts. <br>• Track outstanding submissions and follow up with departments on missing or incomplete data. <br>• Assist in preparing review materials and presentation decks for senior leadership sessions. <br><b>Skills</b><br>• Solid proficiency in Microsoft Excel (formulas, pivot tables, data organization). <br>• Basic familiarity with Power BI or a willingness to learn. <br>• Strong attention to detail and commitment to data accuracy. <br>• Good organizational skills with the ability to manage multiple tasks and deadlines. <br>• Clear written and verbal communication skills. <br>• Collaborative team player with a proactive, can-do attitude. <br><b>Education</b><br>Bachelor's degree in Finance, Accounting, Economics, or a related field.<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"> 1+ 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>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Opportunity</h3> <p style="margin:0 0 12px; ************;">Quik Hire Staffing is seeking a <strong style="font-weight:700;">Senior Engineer AI Platforms</strong> for a client based in Saudi Arabia. This contract role focuses on the development and deployment of AI models, contributing to the design, testing, and integration of AI solutions to enhance product capabilities. The position offers an hourly rate ranging from <strong style="font-weight:700;">$30 to $90</strong>.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose</h3> <p style="margin:0 0 12px; ************;">The Senior Engineer AI Platforms will be instrumental in building scalable AI systems that support real-world applications. This involves a comprehensive approach from initial design to final deployment, ensuring that AI solutions are robust, efficient, and seamlessly integrated into existing technological frameworks.</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;">Design, build, and optimize AI models using established machine learning frameworks such as TensorFlow or PyTorch.</li> <li style="margin:0 0 6px;">Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.</li> <li style="margin:0 0 6px;">Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation processes.</li> <li style="margin:0 0 6px;">Implement best practices for data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Document technical specifications, model performance metrics, and deployment procedures thoroughly.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates for this role should possess <strong style="font-weight:700;">2 to 5 years</strong> of professional experience in AI engineering or a closely related field. A proven track record in developing and deploying AI models and solutions is essential for success in this position.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills</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;">Proficiency in machine learning frameworks such as TensorFlow or PyTorch.</li> <li style="margin:0 0 6px;">Demonstrated ability in data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Experience with model testing, validation, and performance optimization.</li> <li style="margin:0 0 6px;">Capability to produce clear technical documentation for AI models and deployment.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Arrangement and Compensation</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">contract position</strong>, offering an opportunity to contribute to advanced AI initiatives. The compensation for this role is structured at <strong style="font-weight:700;">$30 - $90 per hour</strong>, reflecting the expertise required for the responsibilities outlined.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">AECOM is seeking an experienced and detail-oriented <strong style="font-weight:700;">BIM Manager</strong> to join our team in Riyadh, Saudi Arabia. This full-time position involves leading the implementation and enforcement of Building Information Modeling (BIM) standards, execution plans, and coordination workflows across our project portfolio. The role requires 5-10 years of relevant experience and offers significant opportunities for professional growth within a dynamic environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">As a BIM Manager, you will oversee multidisciplinary BIM teams, ensuring compliance with industry standards and client requirements. This position requires a collaborative leader with a visionary approach to digital delivery, driving innovation in modeling and coordination processes. It is a hands-on, client-facing role that involves direct engagement in BIM production and technical support.</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;">Develop, implement, and tailor project-level BIM standards and BIM Execution Plans (BEP) aligned with industry standards (NBIM, NCIS, AIA, BIMForum, ISO 19650) and client Exchange Information Requirements.</li> <li style="margin:0 0 6px;">Establish and administer the project Common Data Environment (CDE), including folder structures, permissions, metadata, workflows, and integration with project management systems.</li> <li style="margin:0 0 6px;">Lead BIM kickoff meetings with internal teams, consultants, and clients across all project phases, ensuring clear communication and alignment on deliverables.</li> <li style="margin:0 0 6px;">Oversee day-to-day BIM production performed by internal staff and external teams, ensuring work aligns with project standards, scope, and agreed Level of Development/Information.</li> <li style="margin:0 0 6px;">Conduct regular quality assurance reviews, including visual model inspections, clash detection analysis, and coordination efforts; provide clear documentation of deficiencies and drive timely corrective actions.</li> <li style="margin:0 0 6px;">Establish and run multidisciplinary model coordination, including scheduled clash detection, issue triage, model health scoring, and remediation tracking using industry-leading tools.</li> <li style="margin:0 0 6px;">Produce, correct, or complete model content directly when needed to keep project deliverables on schedule and maintain quality standards.</li> <li style="margin:0 0 6px;">Perform hands-on Revit production across disciplines as required: modeling, sheet setup, parameter population, and corrections.</li> <li style="margin:0 0 6px;">Setup and verify project models, ensuring correct shared coordinates, base points, survey points, and model-coordination standards.</li> <li style="margin:0 0 6px;">Oversee model lifecycle integration for 3D/4D/5D deliverables and manage incoming contractor and consultant model submittals.</li> <li style="margin:0 0 6px;">Build and execute an automation roadmap using Dynamo and Revit API scripts to reduce repetitive tasks and improve efficiency.</li> <li style="margin:0 0 6px;">Provide technical production support on 3D and 2D deliverables, smart-object content creation, and template development.</li> <li style="margin:0 0 6px;">Report monthly on BIM key performance indicators (KPIs), compliance metrics, and deliverable status to project leadership.</li> <li style="margin:0 0 6px;">Mentor and train team members on project standards, client-specific workflows, and BIM best practices.</li> <li style="margin:0 0 6px;">Capture lessons learned and identify process improvements to refine workflows and enhance team capabilities.</li> <li style="margin:0 0 6px;">Ensure compliance with contractual requirements and information-delivery milestones, flagging risks in digital deliverables to senior leadership.</li> <li style="margin:0 0 6px;">Maintain detailed accountability records, including issue logs, audit results, and deliverable status, providing clear visibility into team performance.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Experience and 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;">5-10 years of experience in BIM management or a related field.</li> <li style="margin:0 0 6px;">Demonstrated experience in implementing and enforcing BIM standards and execution plans.</li> <li style="margin:0 0 6px;">Proficiency with industry-leading BIM software and coordination tools.</li> <li style="margin:0 0 6px;">Strong understanding of industry standards such as NBIM, NCIS, AIA, BIMForum, and ISO 19650.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This position is based in Riyadh, Saudi Arabia, and operates on a full-time basis. The role involves working within a fast-paced environment that values digital delivery and innovation.</p>

<p>Parsons is looking for an amazingly talented BIM Specialist Arch to join our team!</p><p>What You'll Be Doing:</p><p>BIM Model Development &amp; Management: Create, manage, and update detailed 3D building models (architectural and structural) using Autodesk Revit and other BIM tools. Ensure that the architectural and structural models align with luxury design standards, integrating high-end materials, finishes, and bespoke elements. Collaborate with other BIM specialists (MEP, Civil) to ensure a fully coordinated building model that addresses luxury project specifications.</p><p>Coordination &amp; Collaboration: Facilitate coordination between architecture, structure, MEP, civil, and interior design teams, ensuring that all building elements are harmonized. Attend regular coordination meetings with consultants, contractors, and other stakeholders to review design progress and resolve any model conflicts. Ensure that the building model is aligned with the aesthetic goals of the client and complies with luxury design expectations.</p><p>Clash Detection &amp; Resolution: Conduct clash detection using Navisworks or similar software, identifying and resolving conflicts between various building systems. Proactively address design issues and provide BIM-based solutions to avoid construction delays and maintain high-quality outcomes.</p><p>Documentation &amp; Deliverables: Generate detailed architectural and structural drawings, schedules, and reports directly from the BIM model. Ensure that all deliverables comply with the project s luxury standards, local regulations, and international building codes. Prepare construction documents, shop drawings, and schedules, integrating the unique demands of luxury projects such as bespoke finishes, high-end materials, and custom features.</p><p>Quality Control &amp; Compliance: Implement BIM quality control procedures to ensure the accuracy, consistency, and integrity of the building models. Ensure that the design meets high-end luxury standards while adhering to the PMC s quality management protocols. Monitor and enforce compliance with BIM execution plans and industry standards (e.g., ISO 19650).</p><p>Risk Management &amp; Problem Solving: Identify potential design risks or constructability issues early in the project lifecycle, particularly in relation to luxury-specific design features. Work closely with the project management team to mitigate risks through model adjustments and informed decision-making.</p><p>Training &amp; Development: Provide training and technical support to project teams, ensuring that all stakeholders understand and utilize BIM processes effectively. Stay updated with the latest BIM technologies, tools, and workflows, incorporating new innovations relevant to luxury building projects.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's Degree in Architecture, Structural Engineering, or related field. Minimum 10-15 years of experience in BIM management, with at least 8 years working on high-end luxury building projects in the construction industry. Advanced proficiency in Autodesk Revit, Navisworks, and other BIM-related software. Strong understanding of building systems, materials, and high-end finishes relevant to luxury construction. Experience in clash detection, model coordination, and producing detailed architectural and structural drawings. Excellent coordination and communication skills, with experience working in multidisciplinary teams. Detail-oriented with an eye for luxury design aesthetics and quality. Ability to manage multiple stakeholders and deliver precise, high-quality results under tight deadlines. Certification in BIM management or Autodesk Revit (e.g., Autodesk Certified Professional). Experience in PMC environments, working on large-scale luxury residential, commercial, or hospitality projects. Knowledge of sustainable building practices and integration of green technologies, tools and workflows, incorporating new innovations relevant to luxury building projects.</p>

<p>Design, build, and deploy AI/ML solutions that deliver measurable business value, using modern modeling, data pipelines, and MLOps practices, while collaborating with stakeholders to productionize AI responsibly.</p><p>Key Performance Indicators:</p><ul><li>Develop and deploy ML models reliably</li><li>Improve model accuracy and performance</li><li>Build scalable data and training pipelines</li><li>Own MLOps monitoring and continuous delivery</li><li>Deliver AI solutions meeting business KPIs</li></ul><p>Qualifications:</p><ul><li>4 5 years AI/ML engineering experience</li><li>Proven experience deploying ML models to production</li><li>Strong background in Python and ML frameworks</li><li>Experience with data pipelines and feature engineering</li><li>Bachelor s degree in Computer Science or related field</li></ul><p>Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications:</p><ul><li>4 5 years AI/ML engineering experience</li><li>Proven experience deploying ML models to production</li><li>Strong background in Python and ML frameworks</li><li>Experience with data pipelines and feature engineering</li><li>Bachelor s degree in Computer Science or related field</li></ul><p>Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication</p>