وظائف موديل - ابو ظبي الإمارات

<p><strong>Job Title:</strong> BIM Modeler (4D/5D)</p><p><strong>Reporting to:</strong> Project BIM Manager</p><p><strong>Placement Urgency</strong>: Medium</p><p><strong>Location:</strong> UAE, preferably Abu Dhabi (AD)</p><p><strong>Education Qualification:</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's degree in architecture or civil engineering</p><p><strong>Technical Skills & Competency:</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven experience in 4D and 5D modelling using Synchro Pro</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; High proficiency in Revit, Navisworks, and AutoCAD; exposure to tools such as Rhinoceros is advantageous</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience using Autodesk Construction Cloud (ACC) for design collaboration and coordination</p><p><strong>Total Experience:</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Minimum 5 years of experience in Architectural / Structural 3D BIM Modelling</p><br><p><strong>Requirements</strong></p><ul><li><p>Exposure to theme park or large-scale entertainment projects (e.g. Miral projects) is highly preferred</p></li><li><p>Demonstrated experience working on complex geometries and non-standard architectural forms (e.g. themed projects, organic shapes)</p></li><li><p>Sound understanding of BIM processes, BIM Uses, and Asset Information Modelling (AIM)</p></li><li><p>Practical understanding of materials, finishes, and construction detailing</p></li><li><p>Proven ability to coordinate across multidisciplinary teams and subcontractors</p></li><li><p>Excellent communication, organisation, and time management capabilities</p></li><li><p>Ability to manage multiple priorities and work within fast-paced, deadline-driven environments</p></li><li><p>Adaptable mindset with the ability to respond to evolving project requirements</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Job Responsibilities</p><ul><li><p>Develop and manage 3D BIM models (Architectural / Structural) in accordance with project requirements and BIM Execution Plans (BEP)</p></li><li><p>Produce and integrate 4D models using Synchro Pro, aligning construction sequencing with model data</p></li><li><p>Generate 2D drawings and detailed documentation directly from BIM models, ensuring accuracy and coordination</p></li><li><p>Embed and manage geometric and non-geometric data, including asset information in line with Asset Information Modelling requirements</p></li><li><p>Coordinate and integrate models from multiple disciplines and subcontractors into a unified BIM environment</p></li><li><p>Utilize Autodesk Construction Cloud (ACC) for design collaboration and model coordination workflows</p></li><li><p>Create and manage families, components, annotations, and parametric elements in line with required Levels of Development (LOD)</p></li><li><p>Develop complex geometries, including organic shapes and themed architectural elements, ensuring buildability</p></li><li><p>Perform regular model checks, clash detection, and quality control to maintain model integrity</p></li><li><p>Support BIM Coordinator in maintaining modelling standards, naming conventions, and data structures</p></li><li><p>Contribute to coding, naming, and numbering protocols for BIM platforms and worksets</p></li><li><p>Liaise with project teams, subcontractors, and client representatives to ensure alignment and coordination</p></li><li><p>Review materials, finishes, and detailing within the model, proposing practical and cost-effective alternatives where required</p></li></ul><br>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<ul><li><p>Develop and maintain accurate BIM models for fit-out and interior design projects. Ø Create detailed 3D models using Revit and other BIM software. Ø Prepare shop drawings, construction drawings, and as-built drawings. Ø Coordinate architectural, interior, joinery, furniture, and MEP models. Ø Perform clash detection and resolve model conflicts with project stakeholders. Ø Ensure BIM models comply with project specifications, standards, and client requirements. Ø Update models based on design revisions and site changes. Ø Extract plans, elevations, sections, schedules, and quantities from BIM models. Ø Support designers, architects, engineers, and project teams with technical drawings and model information. Ø Participate in design coordination and project review meetings. Ø Maintain BIM documentation and model version control. Ø Assist in the preparation of material schedules and quantity take-offs. Ø Conduct quality checks to ensure model accuracy and completeness. Ø Coordinate with site teams to verify installation details and update as-built information. Ø Ensure timely delivery of BIM models and drawings in line with project schedules.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Diploma or bachelor’s degree in architecture, Civil Engineering, Interior Design, Construction Engineering. Ø 2-5 years of experience as a BIM Modeler, Draftsman, or BIM Technician. Ø Experience in interior fit-out, design & build, construction, or architectural projects. Ø Strong knowledge of BIM principles, standards, and workflows. Ø Strong understanding of joinery and fit-out systems, including materials (MDF, veneers, laminates, hardwood), finishes, fixings, and hardware. Ø Knowledge of interior construction methods, detailing, and industry best practices. Ø knowledge of shop drawing production and approval workflows. Ø Knowledge of project lifecycle, from design development through to installation and handover. Ø Proficiency in Revit, AutoCAD, Navisworks, and BIM software Ø Professional in BIM modeling and drafting. Ø Skills in Clash detection, coordination and technical drawing preparation. Ø Familiarity with MS Office Suite (Excel, Word, Outlook) for reporting and coordination. Ø Ability to read and interpret architectural, ID, MEP, and structural drawings for coordination. Ø Strong verbal and written communication skills to engage with clients, consultants, subcontractors, and internal teams. Ø Create accurate 3D BIM models, coordinate multidisciplinary models, identify and resolve design clashes. Ø Ability to manage multiple priorities and technical packages across different stages of the project. Ø Skills in tracking production, deliveries, and installations against project schedules. Ø Capable of troubleshooting on-site technical issues and proposing practical solutions quickly.</p></li></ul>

<strong>Job Purpose<br><br></strong>As an AVP– Data Science, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities.<br><br><strong>Roles And Responsibilities<br><br></strong>Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods.<br><br>Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.<br><br>Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).<br><br>Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.<br><br>Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.<br><br>Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.<br><br>Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.<br><br>Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.<br><br>Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.<br><br>Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.<br><br><strong>Related Years Of Experience<br><br></strong>6+ years of experience in data science, applied machine learning, or advanced analytics.<br><br>Proven experience delivering models that have been deployed and integrated into business processes or digital products.<br><br>Experience working in agile, cross-functional teams with Product Owners, Data Analysts, and Data Engineers.<br><br><strong>Field Of Experience<br><br></strong>Analytics, Data Science, Artificial Intelligence<br><br><strong>Technical And Interpersonal Skills<br><br></strong>Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM).<br><br>Strong command of SQL for data extraction, transformation, and validation.<br><br>Experience working in Databricks or equivalent data and ML platforms.<br><br>Familiarity with deep learning frameworks (PyTorch, TensorFlow) and ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes).<br><br>Understanding of model explainability, ethics, fairness, and governance.<br><br>Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM).<br><br>Exposure to cloud platforms (Azure, Snowflake) and APIs for integrating AI models into applications.<br><br>Familiarity with version control (Git/GitHub) and collaborative coding practices.<br><br>Excellent communication skills to explain technical findings in clear business terms.<br><br>Collaborative and curious, with a passion for continuous learning and innovation<br><br><strong> QUALIFICATION <br><br></strong>Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.<br><br>Master’s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage.<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.

MLOps Engineer (Freelance)<br>Location: Abu Dhabi, Dubai, UAE (Hybrid) Contract Duration: Initial 6-Month Contract with possibility of extension Employment Type: Freelance / Independent Contractor<br>About the Role We are seeking an experienced MLOps Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work.<br>The successful candidate will play a key role in building, automating, and maintaining the infrastructure and processes required to deploy, monitor, and scale machine learning solutions in production environments. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.<br>Key Responsibilities Design, implement, and maintain scalable MLOps frameworks and automated machine learning workflows. Build and manage CI/CD pipelines for machine learning model development, testing, deployment, and monitoring. Collaborate closely with Data Scientists, Machine Learning Engineers, Data Engineers, and Dev Ops teams to operationalize AI solutions. Deploy, monitor, and manage machine learning models in production environments. Develop and maintain model versioning, governance, and monitoring processes. Automate model retraining, validation, and deployment workflows. Ensure reliability, scalability, security, and performance of machine learning infrastructure. Implement logging, monitoring, and alerting mechanisms for model and platform performance. Optimize cloud infrastructure and resource utilization for AI/ML workloads. Troubleshoot and resolve issues related to model deployment, infrastructure, and data pipelines. Promote MLOps best practices and contribute to continuous improvement initiatives.<br>Required Skills & Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.4+ years of experience in MLOps, Dev Ops, Machine Learning Engineering, or a similar role. Strong experience with Python and machine learning lifecycle management. Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML. Strong knowledge of CI/CD tools such as Git Hub Actions, Git Lab CI/CD, Jenkins, or Azure Dev Ops. Experience with containerization and orchestration technologies including Docker and Kubernetes. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of infrastructure as code tools such as Terraform or Cloud Formation. Experience with monitoring and observability tools. Strong knowledge of software engineering best practices, automation, and system reliability. Excellent analytical, troubleshooting, and communication skills.<br>Preferred Qualifications Experience supporting Generative AI and Large Language Model (LLM) deployments. Familiarity with Databricks, Spark, and large-scale data processing platforms. Knowledge of Responsible AI, model governance, and compliance frameworks. Experience working in enterprise-scale production environments. Previous experience delivering projects within the UAE or GCC region.<br>Apply Now If you are passionate about building reliable and scalable machine learning platforms and enjoy working at the intersection of AI, cloud infrastructure, and automation, we would love to hear from you. Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.

<ul><li>Design and implement end-to-end AI solutions, from data ingestion and preprocessing to model deployment and monitoring.</li><li>Develop and optimize machine learning algorithms and deep learning models for various applications, ensuring scalability and performance.</li><li>Build robust APIs and microservices to integrate AI models into existing software architectures and applications.</li><li>Create user-friendly interfaces and dashboards for interacting with AI systems and visualizing model outputs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>System design & architecture (microservices, agent-based systems)</p></li><li><p>REST API & gRPC integration</p></li><li><p>Python backend development</p></li><li><p>Kubernetes/AKS, Helm, progressive delivery (canary/blue-green)</p></li><li><p>Azure cloud services, APIM</p></li><li><p>Semantic Kernel / Microsoft Agent Framework (or similar agent orchestration frameworks) — good to have</p></li><li><p>SSE streaming & async job/task management</p></li><li><p>MongoDB / Cosmos DB</p></li><li><p>Logging, monitoring & observability (Dynatrace, OpenTelemetry — good to have)</p></li><li><p>CI/CD pipelines</p></li><li><p>JWT/OAuth2 authentication patterns</p></li></ul>

<p><strong><u>Principal AI Ops Engineer – Abu Dhabi</u></strong></p><p><strong><u>Discover the Opportunity:</u></strong></p><p>We’re partnering with a leading organisation in Abu Dhabi that is building and operating advanced AI systems at significant scale.</p><p><br></p><p>They’re looking for a <strong>Principal AI Ops Engineer</strong> to take ownership of how AI and LLM systems operate in production, covering inference and model serving, deployment, observability, reliability and performance.</p><p><br></p><p>This is a Principal-level individual contributor role for someone who combines deep AI infrastructure expertise with strong software and reliability engineering fundamentals. You’ll set the operational standards that allow engineering teams to deploy and run production AI systems safely, reliably and efficiently.</p><p><br></p><p><strong><u>Discover the Responsibilities:</u></strong></p><ul><li>Design, operate and optimise GPU-based inference and model-serving infrastructure for production AI and LLM workloads. </li><li>Optimise model serving across latency, throughput, batching, quantisation, autoscaling and infrastructure cost. </li><li>Build automated release pipelines for models, prompts and agent configurations, including canary deployments, regression gates and rollback strategies. </li><li>Establish AI-specific observability across model, retrieval and orchestration layers, including tracing, latency, cost and quality monitoring. </li><li>Define and maintain SLOs across availability, latency and AI system quality, alongside automated alerting and incident response processes. </li><li>Own capacity planning and cost optimisation across GPU and AI infrastructure. </li><li>Build secure, scalable Kubernetes environments and Infrastructure-as-Code patterns for production AI workloads. </li><li>Develop reusable deployment patterns, tooling and operational standards that enable engineering teams to ship AI systems reliably. </li><li>Lead complex production incidents, load testing and root-cause analysis across AI infrastructure and applications. </li><li>Provide technical leadership and help establish engineering standards for operating AI systems at scale. </li></ul><p><br></p><p><strong><u>Discover the Requirements:</u></strong></p><ul><li>Proven experience operating at <strong>Staff, Principal or equivalent senior IC level</strong>, with a track record of running production ML or LLM systems at scale. </li><li>Deep hands-on experience with <strong>GPU-based inference and model serving</strong>, including technologies such as vLLM, TGI, TensorRT-LLM or similar. </li><li>Strong understanding of batching, quantisation, latency, throughput, autoscaling and the performance trade-offs involved in production LLM serving. </li><li>Strong experience with <strong>AI/LLM observability</strong>, including tracing, quality monitoring, drift and regression detection. </li><li>Strong reliability engineering fundamentals across SLOs, incident response, capacity planning and post-mortems. </li><li>Strong Python engineering skills with experience building production-grade automation and infrastructure tooling. </li><li>Deep experience with <strong>Kubernetes, Docker and Infrastructure as Code</strong>, ideally Terraform, across cloud environments. </li><li>Experience with observability technologies such as <strong>Langfuse, LangSmith, Arize Phoenix, Grafana or Prometheus</strong>. </li><li>Experience integrating AI evaluation and regression testing into CI/CD and production release processes. </li><li>Experience with cloud infrastructure, ideally <strong>Azure</strong>, and production environments with strong security, data residency or compliance requirements. </li><li>Experience with GPU/AI infrastructure cost optimisation and FinOps would be advantageous. </li><li>A highly hands-on approach, with the ability to set technical standards while remaining close to engineering and production systems.</li></ul>

<ul><li><p>We are seeking an AI Quality & Reliability Engineer to own the "Production Readiness" of our cloud-based AI solutions. This hybrid role combines automated software testing, AI model evaluation, and Site Reliability Engineering (SRE). You will build the automated frameworks that validate our AI outputs and ensure the underlying Azure/AWS infrastructure is resilient, performant, and compliant with banking standards.</p><p><strong>Key Responsibilities:</strong></p><ul><li><p><strong>AI Quality Automation:</strong> Design and execute automated testing frameworks for AI services (e.g., Azure OpenAI, AWS Bedrock). This includes testing for model hallucinations, accuracy, and "AI Content Safety" latency.</p></li><li><p><strong>Resiliency Engineering (SRE):</strong> Implement "Chaos Engineering" and load testing to ensure web/mobile backends can handle banking-scale traffic. Maintain high availability through automated recovery scripts.</p></li><li><p><strong>Automated Regression:</strong> Build CI/CD-integrated test suites using <strong>Python</strong> that validate both the application logic and the infrastructure state (IaC validation).</p></li><li><p><strong>Observability & SLIs:</strong> Define and monitor Service Level Indicators (SLIs) and Objectives (SLOs). Set up advanced alerting in Azure Monitor or AWS CloudWatch to catch performance degradation before users do.</p></li><li><p><strong>Security & Compliance Testing:</strong> Automate security scans and compliance checks to ensure all AI data handling meets strict banking data residency and privacy protocols.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Technical & Professional Requirements:</strong></p><ul><li><p><strong>Automation Stack:</strong> High proficiency in <strong>Python</strong> (for AI testing) and framework automation (PyTest, Selenium, or Robot Framework).</p></li><li><p><strong>Cloud Infrastructure:</strong> Strong hands-on experience with <strong>Azure</strong> or <strong>AWS</strong>, specifically regarding networking, scaling, and serverless reliability.</p></li><li><p><strong>AI/ML Understanding:</strong> Understanding of Prompt Engineering and how to evaluate AI model outputs (RAG evaluation, ROUGE/BLEU scores, or custom LLM-benchmarks).</p></li><li><p><strong>Monitoring Tools:</strong> Experience with Grafana, Prometheus, or native cloud monitoring tools to build real-time reliability dashboards.</p></li><li><p><strong>FinOps Awareness:</strong> Ability to identify "expensive" failing tests or inefficient cloud resource usage during the testing phase.</p></li></ul><br><p><strong>Recommended Skillset & Tools:</strong></p><ul><li><p><strong>Languages:</strong> Python (Mandatory), Bash scripting.</p></li><li><p><strong>Tools:</strong> GitHub Actions (CI/CD), Terraform (reading/validating), K6 or JMeter (Performance).</p></li><li><p><strong>AI Frameworks:</strong> DeepEval, Ragas, or LangSmith (for automated AI evaluation).</p></li></ul><br><p><strong>Skills</strong></p><p>Python</p><p>Azure/AWS</p><p>AI model evaluation</p></li></ul>

Machine Learning Engineer <br>Location: Abu Dhabi, Dubai, UAE (Hybrid) Contract Duration: Initial 6-Month Contract with possibility of extension Employment Type: Freelance / Independent Contractor<br>About the Role We are seeking an experienced Machine Learning Engineer to join our team on an initial 6-month freelance contract. This is a hybrid role offering a combination of onsite and remote work. The successful candidate will be responsible for designing, developing, deploying, and maintaining machine learning solutions that support key business initiatives. This opportunity offers the potential for extension beyond the initial contract period, subject to project requirements and performance.<br>Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Build and maintain end-to-end machine learning pipelines for data ingestion, training, testing, and deployment. Collaborate with data scientists, data engineers, and business stakeholders to deliver production-ready solutions. Optimize machine learning models to improve performance, scalability, and reliability. Implement MLOps best practices for model deployment, monitoring, and maintenance. Work with large datasets to extract insights and improve model effectiveness. Develop APIs and services to support machine learning applications in production environments. Ensure data quality, model accuracy, and compliance with organizational standards. Troubleshoot issues related to model performance and deployment. Stay up to date with emerging AI and machine learning technologies.<br>Required Skills & Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.4+ years of experience in Machine Learning Engineering, AI Development, or related roles. Strong proficiency in Python and machine learning frameworks such as Tensor Flow, PyTorch, Scikit-learn, or Keras. Experience building and deploying machine learning models in production environments. Strong understanding of software engineering principles and development best practices. Experience with SQL and data processing technologies. Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform. Experience with Docker, Kubernetes, and containerized deployments. Knowledge of CI/CD pipelines and MLOps methodologies. Excellent problem-solving and communication skills. Ability to work independently in a freelance consulting environment.<br>Preferred Qualifications Experience with Large Language Models (LLMs) and Generative AI solutions. Experience with Databricks, Spark, or other big data technologies. Knowledge of model monitoring, governance, and Responsible AI practices. Experience working in enterprise-scale environments. Previous experience delivering projects within the UAE or GCC region.<br>Apply Now If you are passionate about AI and machine learning and enjoy building scalable, production-grade solutions, we would love to hear from you. Please note: This opportunity is open to freelancers/independent contractors only and requires availability for a hybrid working arrangement in UAE.<br>NOTE: At SCC, we take the privacy and security of your information very seriously, any information we hold will be by current data protection legislation. Upon submitting your application SCC will process your information in line with our privacy policy which can be found on our website under the Legal section -> Privacy Notice -> Flexible Resourcing

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description <br><p><span><span>We’re a large and growing professional services firm that still feels like a community.</span><span>With over 76,000 professionals in more than 150 countries, we combine global scale with local expertise to help dynamic organizations unlock their potential for growth.</span><span>We truly care about our colleagues, our clients, and the communities where we work and live.</span></span></p><br><br> <p><span><span>As a Senior Consultant, you’ll empower the team, deliver excellence, lead the way in shaping strategies and exceeding client expectations, and make a meaningful impact. Discover your purple and join our Business Risk Services Team today!</span></span></p><br><br> <p><span><b><span>Let us paint a picture for you</span></b></span></p><br><br> <p><span>Imagine being part of a team that puts “we before me”, where flexibility is a mindset, and where you trust your colleagues to have your back.</span></p><br><br> <p><span><span>Imagine working for an organization that believes in the power of authenticity in everything that we do. Whether you're steering discussions in a client meeting, tackling your fear of heights at the top of the Burj Khalifa or ziplining across Jebel Jais – bring your true self to work. Be a part</span><span>of a team</span><span>driven by a purpose of shaping the world that we live in, based on trust and integrity in markets, dynamic businesses, and communities where businesses and people thrive.</span></span></p><br><br> <p><span>Join us to expand your horizons, be inspired, face challenges, and most importantly, be yourself.</span></p><br><br> <p><span><b><span>About the Business Risk Services Line</span></b></span></p><br><br> <p><span><span>Discover tailored risk solutions with our BRS team. From proactive risk detection to optimizing internal controls, we empower your organization with strategies that drive efficiency and safeguard against threats. With a focus on transparency and collaboration, we build robust audit frameworks that ensure resilience and foster growth in an ever-changing business landscape.</span></span></p><br><br> <p><span><b><span>As a Senior Consultant some of your responsibilities will include:</span></b></span></p><br><br> <ul> <li><span>Preparing draft terms of reference/audit planning document prior to meeting the client whilst ensuring any revisions are processed</span></li> <li><span>Preparing business proposals and ensure timely submission to the line manager</span></li> <li><span>Preparing fieldwork as applicable to review</span></li> <li><span>Executing financial risk management assignments independently in Financial Services sector such as capital, liquidity, credit and market risk, stress testing, internal risk models, data management and risk reporting</span></li> <li><span>Conducting current state assessment, gap analysis and Target Operating Model design</span></li> <li><span>Building and implementation pertaining to Risk reporting related processes such as assessing Risk management policies, procedures and standards and develop/update them as required</span></li> <li><span>Producing close-out documentation and contributes to close-out meetings with the client</span></li> <li><span>Responsible for building and maintaining good working relationships with all clients and colleagues</span></li> <li><span>Field management responsibilities including completing file reviews and preparing reports for review by assistant manager and engagement manager</span></li> <li><span>Planning and supervision of audits assigned to junior colleagues, including leading planning and exit meetings</span></li> <li><span>Preparing reports and presentations for assigned projects</span></li> <li><span>Formulating recommendations and solutions with attention to a client’s wishes, capabilities and limitations forming concise reports</span></li> <li><span>Assisting the client in implementing the plan and resolve any occasional discrepancies</span></li> <li><span>Assisting in Financial Management including billing and income collection, compilation of profitability budgets and management of financial review process to achieve target internal profit measures</span></li> <li><span>General understanding of Internal Audit and Quality Assurance processes and expectations</span></li> </ul> <p><span><b><span>Think you've got what it takes to be a Senior Consultant? Like the color purple? Great. Here's a few more boxes we're also hoping you can tick:</span></b></span></p><br><br> <ul> <li><span>3+ years of work experience in Internal Audit / Risk Management within a top international consulting firm</span></li> <li><span>Bachelor’s or master’s degree in accounting or finance is essential</span></li> <li><span>Qualified level candidate of professional qualification (CA UK, CPA, ACA, ACCA) is mandatory</span></li> <li><span><span>Excellent verbal written, and presentation skills in English, Arabic is advantegous</span></span></li> <li><span><span>Strong</span><span>working knowledge of data analytics tools and techniques to analyze large datasets, and detect anomalies</span></span></li> <li><span>Excellent interpersonal skills, able to work to tight deadlines, self-motivated and detail – focused</span></li> </ul><br> Skills Description <br><p>.</p><br><br> <br><br> </div>

<p><h4>Job description</h4> <p>Responsible for managing the implementation and delivery of Building Information Modelling (BIM) across a large-scale roads, utilities, and urban infrastructure project. Oversees BIM standards, model coordination, digital workflows, and information management, ensuring collaboration between design, construction, and project controls teams while supporting efficient project delivery, clash detection, and compliance with client and industry BIM requirements.</p> <p>The BIM manager is an experienced design team member who will be assigned to review the deliverables of the existing design and construction team during the implementation of projects.</p> <p>The BIM manager will put in place all BIM requirements for each project. This will include preparing and reviewing the BIM Execution Plan, LOD matrix, modelling methodology, coordination strategy, collaboration and exchange timeframe, file formats, and other requirements and ensure it is communicated to all consultants and contractors involved in the project.</p> <p>Duties shall include auditing design and construction models to ensure consistency, looking at the information attached to the geometry for scheduling and BOQs purposes, overlapping or duplicating geometries, warnings, file sizes, over modelling, etc. This model audit will be performed at each submission from the consultants and/or contractors. This audit will help reduce the amounts of utility clashes, better understand potential problems in the files, and ensure accurate scheduling and BOQs.</p> <p>The BIM manager shall coordinate BIM activities among the lead design consultant, other consultants, contractors, and stakeholders to ensure that digital models are properly integrated and aligned with program and construction requirements. The role includes monitoring model development progress, identifying integration gaps, supporting multidisciplinary coordination, and ensuring that BIM outputs support project design and delivery objectives in accordance with the PMC’s design management responsibilities.</p> <p>Attend and provide support during coordination meetings with consultants.</p> <p>Provide direct support to the project team in extracting information from the model or for visualization purposes.</p> <p>Review reports of utility clashes, BOQs, and material specification extraction from the BIM model.</p> <p>Can elaborate to client the models, sections, and clashes in Revit and AutoCAD 360.</p> <p>Attend various technical coordination workshops to gather all the information required to develop a tailored project’s BIM strategy.</p> <p>Review BIM protocols and any other required BIM documentation to allow for a successful implementation.</p> <p>Audit and review any documentation such as BIM models, BIM Execution Plan, or related documents against established BIM standards and protocols and ensure a smooth transition between all phases (design, construction, and operation) and all team members of a project.</p> <p>Comply with the relevant quality, environmental, safety, and occupational health policies, manuals, and procedures in place within the company and ensure continued compliance with these requirements while employed.</p> <p>Perform other duties as assigned by the line manager or supervisor including occasional drafting work in support of PMC activities.</p> <h4>Qualifications and experience</h4> <ul> <li>BSc degree in civil engineering.</li> <li>10+ years of experience across all phases of BIM management.</li> <li>At least 3 recent years in a similar position within a PMC team.</li> <li>Fully conversant across all modern BIM software, specifically Civil 3D.</li> <li>Fully conversant with Abu Dhabi Municipality requirements.</li> <li>Good communication skills with the ability to compose and explain complex issues concisely to different audiences.</li> <li>Excellent team working skills, motivated and productive attitude.</li> <li>Ability to prioritize and undertake a range of tasks with a positive, flexible attitude and willingness to learn.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p>Responsible for managing the implementation and delivery of Building Information Modelling (BIM) across a large-scale roads, utilities, and urban infrastructure project. Oversees BIM standards, model coordination, digital workflows, and information management, ensuring collaboration between design, construction, and project controls teams while supporting efficient project delivery, clash detection, and compliance with client and industry BIM requirements.</p> <p>The BIM manager is an experienced design team member who will be assigned to review the deliverables of the existing design and construction team during the implementation of projects.</p> <p>The BIM manager will put in place all BIM requirements for each project. This will include preparing and reviewing the BIM Execution Plan, LOD matrix, modelling methodology, coordination strategy, collaboration and exchange timeframe, file formats, and other requirements and ensure it is communicated to all consultants and contractors involved in the project.</p> <p>Duties shall include auditing design and construction models to ensure consistency, looking at the information attached to the geometry for scheduling and BOQs purposes, overlapping or duplicating geometries, warnings, file sizes, over modelling, etc. This model audit will be performed at each submission from the consultants and/or contractors. This audit will help reduce the amounts of utility clashes, better understand potential problems in the files, and ensure accurate scheduling and BOQs.</p> <p>The BIM manager shall coordinate BIM activities among the lead design consultant, other consultants, contractors, and stakeholders to ensure that digital models are properly integrated and aligned with program and construction requirements. The role includes monitoring model development progress, identifying integration gaps, supporting multidisciplinary coordination, and ensuring that BIM outputs support project design and delivery objectives in accordance with the PMC’s design management responsibilities.</p> <p>Attend and provide support during coordination meetings with consultants.</p> <p>Provide direct support to the project team in extracting information from the model or for visualization purposes.</p> <p>Review reports of utility clashes, BOQs, and material specification extraction from the BIM model.</p> <p>Can elaborate to client the models, sections, and clashes in Revit and AutoCAD 360.</p> <p>Attend various technical coordination workshops to gather all the information required to develop a tailored project’s BIM strategy.</p> <p>Review BIM protocols and any other required BIM documentation to allow for a successful implementation.</p> <p>Audit and review any documentation such as BIM models, BIM Execution Plan, or related documents against established BIM standards and protocols and ensure a smooth transition between all phases (design, construction, and operation) and all team members of a project.</p> <p>Comply with the relevant quality, environmental, safety, and occupational health policies, manuals, and procedures in place within the company and ensure continued compliance with these requirements while employed.</p> <p>Perform other duties as assigned by the line manager or supervisor including occasional drafting work in support of PMC activities.</p> <h4>Qualifications and experience</h4> <ul> <li>BSc degree in civil engineering.</li> <li>10+ years of experience across all phases of BIM management.</li> <li>At least 3 recent years in a similar position within a PMC team.</li> <li>Fully conversant across all modern BIM software, specifically Civil 3D.</li> <li>Fully conversant with Abu Dhabi Municipality requirements.</li> <li>Good communication skills with the ability to compose and explain complex issues concisely to different audiences.</li> <li>Excellent team working skills, motivated and productive attitude.</li> <li>Ability to prioritize and undertake a range of tasks with a positive, flexible attitude and willingness to learn.</li> </ul></p><p></p>

<ul><li><p>AI governance frameworks aligned to EU AI Act and CBUAE AI principles, model risk management policies for generative AI in banking, cyber threat assessments for AI/ML infrastructure. Develop and enforce AI governance frameworks aligned with EU AI Act & CBUAE guidelines; establish model risk management policies for generative AI in banking; perform cyber risk assessments for AI/ML infrastructure, ensuring alignment with regulatory requirements and internal risk management processes.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>CISSP, CISM, ISO/IEC 42001 Lead Implementer (AI Management System) Experience- 10-12 Years</p></li></ul>

About AI71:<br><br>AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.<br><br>The Role:<br><br>As a Senior Machine Learning Engineer at AI71, you'll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.<br><br>What You'll Do:<br><br>Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions. AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts. Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks. Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs. Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.<br><br>What You'll Bring:<br><br>8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field. Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Master's or Ph. D. in AI, Data Science, Computer Science, Statistics, or a related field. Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle). Expertise in machine learning frameworks (e.g., scikit-learn, Tensor Flow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, Llama Index. Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems. Excellent communication and collaboration skills with the ability to work across interdisciplinary teams. Family Book for UAE Nationals Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. <br><br>Why AI71:<br><br>Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors. Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources. Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team. World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

<ul><li><p>Design, develop, test, deploy, and support Power Platform solutions including Power Apps, Power Automate, Dataverse, and custom integrations while ensuring adherence to security, governance, ALM, and enterprise architecture standards</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills *</p><p>Power Apps( Canvas & Model driven), Dataverse, Power automate, custom connectors, sharepoint integration, Integration of Rest Apis, JSON & XML, Power Fx, ALM, Security & Governance, Microsoft 365 Ecosystem, JavaScript/TypeScript</p><p>Required Experience / Knowledge Areas *</p><ul><li><p>Hands-on experience developing and supporting Canvas Apps and Model-Driven Apps.</p></li><li><p>Experience building and maintaining Power Automate workflows and business process automation solutions.</p></li><li><p>Experience working with Microsoft Dataverse, including data modeling, relationships, forms, views, and security configuration.</p></li><li><p>Proven experience integrating Power Platform with external applications, APIs, Microsoft 365 services, and Azure services.</p></li><li><p>Experience implementing Application Lifecycle Management (ALM) practices, including solution management, deployment pipelines, and environment strategies.</p></li><li><p>Experience troubleshooting production issues and providing application support.</p></li><li><p>Experience working in Agile/Scrum delivery environments.</p></li><li><p>Experience collaborating with business stakeholders to gather requirements and translate them into technical solutions.</p></li></ul><p>Good-to-Have Skills</p><p>Power Platform Center of Excellence (CoE), AI Builder, Azure AI Services, Power Bi, Microsoft Copilot studion, Azure functions, Azure Key Vault, Azure Logic Apps</p><p>Certifications Required</p><p>Preferred certifications:</p><p>Microsoft Certified: Power Platform Developer Associate (PL-400)</p><p>Microsoft Certified: Power Platform App Maker Associate (PL-100)</p><p>Microsoft Certified: Power Platform Functional Consultant Associate (PL-200)</p><p>Microsoft Certified: Power Platform Solution Architect Expert (PL-600)</p><p>Preferred Tech Stack</p><ul><li><p>Power Apps (Canvas Apps & Model-Driven Apps)</p></li><li><p>Power Automate</p></li><li><p>Microsoft Dataverse</p></li><li><p>Power Platform Pipelines</p></li><li><p>Power Fx</p></li><li><p>AI Builder</p></li><li><p>Copilot Studio</p></li><li><p>SharePoint Online</p></li><li><p>REST APIs, JSON, XML, OData, and custom connector development.</p></li></ul><p>Skills</p><p>Power Apps</p><p>Power Automate</p><p>Dataverse</p></li></ul>

<ul><li><p>BIM Manager is an experienced design team member who will be assigned to review the deliverables of the existing design and construction team during the implementation of projects.</p></li><li><p>The BIM Manager will put in place all BIM requirements for each project. This will include preparing/reviewing the BIM Execution Plan, LOD Matrix, modelling methodology, Coordination strategy, Collaboration and Exchange timeframe, files format and other requirements and ensure it is communicated to all consultants and contractors involved in the project.</p></li><li><p>Duties shall include auditing Design & Construction models to ensure consistency, looking at the information attached to the geometry for scheduling and BOQs purpose, overlapping or duplicating geometries, warnings, file sizes, over modelling, etc. This model audit will be performed at each submission from the consultants and/or contractors. This audit will help reduce the amounts of utility clashes, better understand potential problems in the files, and ensure accurate scheduling and BOQs.</p></li><li><p>The BIM Manager shall coordinate BIM activities among the Lead Design Consultant, Other Consultants, contractors, and stakeholders to ensure that digital models are properly integrated and aligned with program and construction requirements. The role includes monitoring model development progress, identifying integration gaps, supporting multidisciplinary coordination, and ensuring that BIM outputs support project design and delivery objectives in accordance with the PMC’s design management responsibilities.</p></li><li><p>Attend and provide support during coordination meetings with consultants.</p></li><li><p>Provide direct support to the project team in extracting information from the model or for visualization purposes.</p></li><li><p>Review reports of utility clashes, BOQs, and material specification extraction from the BIM model.</p></li><li><p>Can elaborate to Client the models/sections/clashes in Rivert and AutoCAD 360</p></li><li><p>Attend various technical coordination workshops to gather all the information required to develop a tailored project’s BIM strategy.</p></li><li><p>Review BIM protocols and any other required BIM documentation to allow for a successful implementation.</p></li><li><p>Audit, and review any documentation such as BIM Models, BIM Execution Plan or related documents related to BIM against established BIM standards and protocols and ensure a smooth transition between all phases (Design, Construction & Operation) and all team members of a project.</p></li><li><p>Comply with the relevant Quality, Environmental, Safety and Occupational Health Policies, Manuals and Procedures in place within Hill International and ensures continued compliance with these requirements while employed by Hill.</p></li><li><p>Perform other duties as assigned by the line manager/supervisor including occasional drafting work in support of PMC activities.&nbsp;</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>BSc degree in civil engineering.</p></li><li><p>10+ years of experience across all phases of BIM Management.</p></li><li><p>At least 3 recent years in a similar position within PMC team.</p></li><li><p>Fully Conversant across all modern BIM Software specifically Civil 3D.</p></li><li><p>Fully conversant with Abud Dhabi Municipality Requirements.</p></li><li><p>Good communication skills with the ability to compose and explain complex issues concisely to different audiences.</p></li><li><p>Excellent team working skills, motivated and productive attitude.</p></li><li><p>Ability to prioritize and undertake a range of tasks with a positive, flexible attitude and willingness to learn.</p></li></ul>