Model Jobs in Egypt

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About the Role </strong></p><br><p>We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem. You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation. This is a hands-on senior role. You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.</p><br><p><strong> What You Will do</strong></p><br><p><strong> GenAI solution design and delivery </strong></p><br><p>• Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio</p><br><p>. • Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies. </p><br><p>• Evaluate, fine-tune, and deploy foundation and open-source models (e.g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning. </p><br><p>• Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.</p><br><p><strong>Platform, MLOps, and productionization</strong></p><br><p> • Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management. </p><br><p>• Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.</p><br><p> • Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops. </p><br><p><strong>AI security and governance </strong></p><br><p>• Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.</p><br><p> • Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls. </p><br><p>• Contribute to AI governance standards, model risk documentation, and compliance requirements. </p><br><p><strong>Technical leadership </strong></p><br><p>• Define reference architectures, coding standards, and reusable components for GenAI workloads. </p><br><p>• Mentor and review the work of other engineers; lead design discussions and technical decision-making. </p><br><p>• Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly. </p><br><p>• Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.</p><br> </div>

RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.<br><br>For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.<br><br><strong>Principal Responsibilities<br><br></strong><ul><li>Serve as the primary owner of the enterprise AI platform ecosystem.</li><li>Define and maintain:</li><li></li><ul><li>Enterprise AI strategy and roadmap</li><li>AI platform architecture standards</li><li>Platform governance framework</li><li>Operational standards and procedures</li><li>Platform lifecycle management processes</li><li>AI adoption and enablement strategy</li></ul><li>Drive enterprise-wide adoption while ensuring security, reliability, scalability, and compliance.</li><li>Lead the design, implementation, and support of enterprise AI solutions.</li><li>Responsibilities include:</li><li></li><ul><li>Building AI agents and copilots, Implementing RAG architectures, developing enterprise AI integrations, designing multi-agent solutions, Implementing AI orchestration patterns, Integrating AI with enterprise applications, &amp; building reusable AI services and frameworks</li></ul><li>Remain actively involved in technical implementation, troubleshooting, and architecture reviews.</li><li>Design and manage the complete lifecycle of enterprise AI agents.</li><li>Establish standards for: Agent development, Agent testing, Security reviews, Approval processes, Production deployment, Change management, &amp; Retirement and decommissioning</li><li>Define governance controls for: Agent ownership, Prompt management, Knowledge source management, Connector usage Model selection, &amp;Version control</li><li>Manage enterprise usage of AI models across multiple platforms.</li><li></li><ul><li>Including: Azure OpenAI Models, Claude Models, Codex, Enterprise-approved LLMs, &amp; Future approved AI providers<br><br></li></ul></ul><ul><li></li><ul><li>Define: Approved models, Restricted models, Model usage policies, Model selection guidelines, &amp; Performance and quality standards</li><li>Continuously optimize: AI response quality, Cost efficiency, Model performance, Scalability, User experience</li></ul><li>Own AI platform financial governance and optimization.</li><li></li><ul><li>Responsibilities include: AI consumption monitoring, Budget forecasting, License optimization, Credit management, Token management, &amp; Cost allocation and reporting</li><li>Implement: Usage quotas, Budget controls, Consumption policies, Chargeback and showback mechanisms, &amp; Cost optimization frameworks</li><li>Monitor and investigate: Cost anomalies, Token spikes, Excessive model consumption, &amp; Resource waste</li></ul><li>Partner with Security, Privacy, Risk, Compliance, and Legal teams to establish enterprise AI controls.</li><li></li><ul><li>Implement: AI governance policies, Data Loss Prevention (DLP), Role-based access controls, Environment segregation, Data classification enforcement, Audit and monitoring controls</li><li>Ensure: Responsible AI usage, Regulatory compliance, Enterprise policy compliance, Secure handling of business data, &amp; Risk management and mitigation</li></ul><li>Design integration architectures between AI platforms and enterprise applications.</li><li></li><ul><li>Examples include: Salesforce, NetSuite, Jira, SharePoint, Microsoft 365, Dataverse, ERP platforms, Knowledge management systems, Internal APIs and business services</li></ul><li>Develop reusable integration patterns that support secure and scalable AI adoption.</li></ul><ul><li>Define enterprise connectivity standards for AI systems.</li><li></li><ul><li>Design and manage: MCP (Model Context Protocol) implementations, API integrations, Agent-to-system communication, External AI service integrations, Enterprise tool connectivity</li></ul><li>Establish secure and governed integration patterns between AI platforms and enterprise systems.</li></ul><ul><li>Establish operational excellence across the AI ecosystem.</li><li></li><ul><li>Implement monitoring and observability for: AI agents, Platform health, Model utilization, System performance, Security events, Usage trends, User adoption</li><li>Develop: Runbooks, Incident response procedures, Support processes, &amp; Escalation workflows</li><li>Lead troubleshooting efforts related to: Agent failures, Integration issues, Model outages, Performance degradation, &amp; Cost anomalies</li></ul><li>Act as a trusted advisor for AI initiatives across the organization.</li><li></li><ul><li>Responsibilities include:</li><li></li><ul><li>Supporting business use-case development</li><li>Designing platform standards</li><li>Providing best practices and templates</li><li>Educating technical teams</li><li>Enabling controlled self-service AI development</li></ul></ul><li>Balance innovation with governance and operational excellence.<br></li></ul><strong>Skills<br><br></strong><ul><li>AI Platforms: Microsoft Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, Anthropic Claude, Codex, &amp; Enterprise AI Platforms</li><li>AI Technologies: Large Language Models (LLMs), Agentic AI, AI Agents, Prompt Engineering, RAG (Retrieval-Augmented Generation), Model Evaluation, AI Governance, MCP (Model Context Protocol)</li><li>Cloud &amp; Platform Engineering: Microsoft Azure, AWS (Preferred), Kubernetes, Docker, Terraform,Platform Engineering, &amp; Infrastructure as Code (IaC)</li><li>Security &amp; Identity: Microsoft Entra ID, OAuth, SAML, RBAC, Conditional Access, &amp; Enterprise Security Architecture</li><li>Development &amp; Automation: Python, PowerShell, REST APIs, GitHub, Azure DevOps, CI/CD Pipelines, &amp; Power Platform<br><br></li></ul><strong>Education &amp; Experience<br><br></strong><ul><li>Bachelor's Degree in: Computer Science, Information Technology, Engineering, &amp; Information Systems</li><li>7–10+ years of experience in Enterprise Technology, Infrastructure, Cloud Engineering, Platform Engineering, or Solution Architecture.</li><li>3+ years of experience implementing or managing AI, GenAI, or Large Language Model platforms.</li><li>Experience designing and operating enterprise SaaS platforms.</li><li>Experience leading technical initiatives across multiple teams.</li><li>Experience working within regulated enterprise environments.<br><br></li></ul>RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.<br><br>If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at <strong><strong>rsa.global.talent.acquisition@rsa.com</strong></strong>. RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.<br><br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Leverage your expertise and join the dynamic team of a<span>leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies.</span></p><br><p><strong>As Technical Lead ML &amp;amp; AI,</strong>you will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models.</p><br><strong>Key Accountabilities</strong><ul><li><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></li></ul><strong>Knowledge, Skills, and Experience</strong><p><strong>We are looking for:</strong></p><br><ul><li><strong>6+ years of experience developing and deploying production</strong> AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Deep hands-on experience developing and implementing machine learning solutions.</li><li>Recent experience, within the last 2 years, taking at least one machine learning project from development through production deployment.</li><li>Experience supervising, reviewing, or providing technical guidance on the work and code of colleagues, junior engineers, or other technical team members.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li></ul><p><strong>Preferred Qualifications</strong></p><br><ul><li>Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul> </div>

<p>Join the dynamic technical team of a leading Saudi contractor focused on high-quality, large-scale residential projects in Saudi Arabia, operating from the company s Egypt-based back office. The Senior BIM 4D/5D Engineer will be responsible for developing, managing, and coordinating 4D and 5D BIM activities , integrating project models with construction schedules, quantities, cost data, and project controls. The role will work closely with project teams, planners, quantity surveyors, commercial teams, consultants, and Saudi-based site/technical teams to improve construction planning, sequencing, cost visibility, and project delivery throughout the project lifecycle.</p><p><b><br></b></p><p><b>Key Accountabilities</b></p><p>The position involves:</p><ul><li>Lead and manage 4D/5D BIM activities across multiple large-scale projects.</li><li>Develop and maintain 4D BIM models by integrating BIM models with project schedules and construction activities.</li><li>Link model elements with construction schedules, WBS, activities, and milestones to support project planning and sequencing.</li><li>Develop and manage 5D BIM workflows integrating quantities, BOQs, cost data, and model information.</li><li>Coordinate with planning, project controls, commercial, procurement, engineering, and construction teams to ensure accurate BIM-based project information.</li><li>Review BIM models and ensure model data is suitable for quantity take-off, cost estimation, scheduling, and project controls .</li><li>Support construction sequencing, 4D simulations, visual planning, and progress monitoring to identify potential delays, sequencing issues, and construction risks.</li><li>Perform model-based quantity extraction and validation, ensuring alignment between BIM quantities, BOQs, and project requirements.</li><li>Support cost planning, budget monitoring, variation assessment, and 5D cost management using BIM-based information.</li><li>Identify and resolve model, schedule, quantity, and cost-related discrepancies through coordination with relevant stakeholders.</li><li>Coordinate BIM models with architectural, structural, MEP, infrastructure, and other multidisciplinary models to support integrated project planning.</li><li>Monitor BIM deliverables and ensure models, schedules, quantities, cost information, and coordination outputs are delivered according to project requirements and timelines.</li><li>Participate in BIM coordination meetings, planning workshops, constructability reviews, and progress meetings.</li><li>Support value engineering and constructability reviews by analyzing project quantities, sequencing, and cost implications.</li><li>Develop BIM-based dashboards, reports, simulations, and visualizations to support project management and decision-making.</li><li>Coordinate with Saudi-based project and site teams to incorporate actual progress, construction updates, and site information into 4D/5D BIM workflows.</li><li>Provide technical guidance and mentoring to BIM engineers/modelers involved in 4D/5D activities.</li><li>Ensure proper documentation, version control, and management of BIM, schedule, quantity, and cost-related information.</li><li>Ensure effective communication and coordination between the Egypt back office and project teams in Saudi Arabia .</li></ul><p><strong>Desired Candidate Profile</strong></p><p>We are Looking for:</p><ul><li>Bachelor s Degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, Architecture, Construction Management, or a related field .</li><li>Minimum 8 12 years of experience in BIM, with strong experience in 4D/5D BIM, BIM coordination, project controls, planning, quantity surveying, or construction management .</li><li>Strong hands-on experience in 4D BIM and construction schedule integration .</li><li>Strong experience in 5D BIM, quantity take-off, cost integration, BOQ, and model-based cost management .</li><li>Previous experience in residential, mixed-use, hospitality, infrastructure, or large-scale construction projects is highly preferred.</li><li>Strong understanding of construction planning, scheduling, WBS, project sequencing, progress monitoring, and project controls .</li><li>Experience integrating BIM models with Primavera P6, MS Project, or other construction planning/scheduling tools .</li><li>Proficiency in relevant BIM and 4D/5D tools such as Navisworks Manage, Revit, Autodesk Construction Cloud/BIM 360, Synchro, CostX, or equivalent platforms .</li><li>Strong understanding of BIM standards, workflows, LOD requirements, model data, quantity extraction, and 4D/5D deliverables .</li><li>Experience with clash detection, multidisciplinary coordination, model review, and constructability analysis .</li><li>Good understanding of BOQ, quantity measurement, cost control, variations, and commercial project requirements .</li><li>Ability to analyze BIM, schedule, quantity, and cost data and translate it into actionable project insights.</li><li>Strong leadership, analytical, coordination, and problem-solving skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to manage multiple projects, models, schedules, and deliverables in a fast-paced back-office environment .</li><li>Ability to work effectively with Saudi-based project, planning, commercial, and site teams while operating from Egypt .</li></ul>

<p><strong>Role Purpose</strong></p><p>Support the development and coordination of 3D BIM models for road and transportation infrastructure projects, ensuring high-quality design deliverables and compliance with project BIM standards.</p><p><strong>Key Responsibilities</strong></p><p>• Develop and maintain BIM models for roads and highways projects.<br>• Coordinate with transportation, utilities, and multidisciplinary engineering teams.<br>• Prepare BIM deliverables, drawings, and model documentation.<br>• Perform model reviews, clash detection, and design coordination activities.<br>• Develop corridor models, grading models, and road geometry components.<br>• Support quantity extraction and model-based reporting activities.<br>• Participate in BIM coordination meetings and support multidisciplinary design integration.<br>• Ensure compliance with BIM standards, BIM Execution Plans (BEPs), and project requirements.</p><p><strong>Requirements</strong></p><p>• Bachelor's degree in Civil Engineering or a related field.<br>• 2+ years of BIM experience in Roads or Transportation projects.<br>• Proficiency in Civil 3D, Navisworks, AutoCAD, and Autodesk Construction Cloud (ACC) / BIM 360.<br>• Strong experience in 3D infrastructure modeling and BIM coordination.<br>• Knowledge of BIM workflows, model coordination, clash detection, and quantity take-offs.<br>• Familiarity with ISO 19650 and industry BIM standards is preferred.<br>• UAE/GCC project experience is highly preferred.</p>

BIM Engineer is responsible for creating, updating, and BIM Models and documentation activities in accordance with project standards and specifications. BIM Engineer his role to supports the design and construction teams by producing accurate 3D models, drawings, and documentation that facilitate coordination and improve project efficiency.<br>Responsibilities Assist in developing and updating BIM models Support preparation of shop drawings , schedules from BIM models. Learn & follow established BIM standards, templates, and workflows. Assist in clash detection, Model issues and coordination . Learn and apply BIM tools, software, and project procedures<br>Qualifications BSc Civil Engineering Years of Experience in same field (2-6) Excellent communication & Organizational skills. Software skills: Revit, Navisworks, Tekla Structures Auto CAD & Basic understanding of international BIM standards.<br>Location : Maadi Office Cairo-Egypt

Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br><br>Key responsibilities include:<br><br>Assisting in the design and implementation of machine learning models under the guidance of senior engineers Conducting data cleaning and preprocessing to prepare datasets for training models Supporting the evaluation and fine-tuning of machine learning algorithms Collaborating with cross-functional teams to understand project requirements and objectives Documenting processes, model training, and outcomes clearly and comprehensively Staying updated with industry trends and best practices in machine learning and AIParticipating in team meetings and contributing to brainstorming sessions<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field Basic understanding of machine learning concepts and algorithms Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, Tensor Flow, or Keras) Experience with data manipulation and analysis tools such as Pandas and Num PyStrong analytical and problem-solving skills Good communication skills and the ability to work effectively in a team environment Enthusiasm for learning new technologies and techniques in AI/MLInternship or project experience in machine learning or data analysis is a plus<br><br>Benefits<br><br>Hybrid working model Social and medical insurance Transportation

Key Responsibilities Manage and coordinate BIM implementation across project design and construction phases. Review and ensure compliance with BIM standards, protocols, and project requirements. Coordinate BIM models between design consultants, contractors, and project teams to ensure proper integration across disciplines. Monitor model development and ensure alignment with project schedules and deliverables. Support clash detection, model coordination, and design validation processes. Ensure accurate BIM data management and model updates throughout the project lifecycle. Provide technical support and guidance on BIM processes, workflows, and best practices. Prepare BIM reports and coordination updates for project management and stakeholders. Qualifications Bachelor’s degree in civil engineering, Architecture, or related discipline. Professional certifications in BIM management or digital construction are an advantage. Experience10–12 years of experience in BIM management or digital design coordination. Experience working on large-scale construction or infrastructure projects. Previous experience with international consultancies or major development programs is preferred. Skills Strong knowledge of BIM coordination and digital design processes. Proficiency in Autodesk Revit, Navisworks, or similar BIM platforms. Experience with clash detection and model coordination workflows. Strong analytical, coordination, and communication skills.

Key Responsibilities Manage and coordinate BIM implementation across project design and construction phases. Review and ensure compliance with BIM standards, protocols, and project requirements. Coordinate BIM models between design consultants, contractors, and project teams to ensure proper integration across disciplines. Monitor model development and ensure alignment with project schedules and deliverables. Support clash detection, model coordination, and design validation processes. Ensure accurate BIM data management and model updates throughout the project lifecycle. Provide technical support and guidance on BIM processes, workflows, and best practices. Prepare BIM reports and coordination updates for project management and stakeholders. Qualifications Bachelor’s degree in civil engineering, Architecture, or related discipline. Professional certifications in BIM management or digital construction are an advantage. Experience10–12 years of experience in BIM management or digital design coordination. Experience working on large-scale construction or infrastructure projects. Previous experience with international consultancies or major development programs is preferred. Skills Strong knowledge of BIM coordination and digital design processes. Proficiency in Autodesk Revit, Navisworks, or similar BIM platforms. Experience with clash detection and model coordination workflows. Strong analytical, coordination, and communication skills.

The Data Modeler is responsible for the hands-on design, development, and maintenance of logical and physical data models that support specific business applications and analytics requirements. This role translates the high-level data architecture strategy into detailed blueprints, ensuring data structures are efficient, consistent, and optimized for performance. The Data Modeler collaborates closely with data engineers and business analysts to create and implement data models that align with established governance standards and facilitate data-driven decision-making.<br>Data Modeling:Design and implement data models (dimensional, relational, Data Vault, NoSQL) to support operational and analytical use cases. Ensure consistency, accuracy, and integrity of data models across the organization. Continuously refine models to improve performance and adaptability to evolving business requirements. Establish and enforce data modeling standards and governance.<br>Data Engineering:Enhance data infrastructure to support efficient storage, retrieval, and transformation. Implement automation to reduce manual processes and increase workflow efficiency. Ensure data pipelines are robust, scalable, and support real-time and batch processing. Identify data discrepancies and develop data metrics.<br>Innovation & Technology Adoption:Stay up to date with new data modeling techniques and tools. Research and integrate cutting-edge tools and platforms to enhance data management capabilities and streamline processes. Encourage a team culture focused on continuous improvement, supporting experimentation with new technologies and methodologies. Develop and execute a technology roadmap to ensure the team is using the best tools available to meet both current and future data needs.<br>Collaboration with Cross-Functional Teams:Work closely with data scientists, business analysts, and BI teams to understand data requirements and design solutions that enable advanced analytics, reporting, and decision-making. Act as a bridge between business units and IT, ensuring that data architecture and engineering solutions meet both technical and business needs. Lead efforts to optimize data workflows and processes across departments, driving efficiency and alignment in data operations.<br>Educational Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degrees provide deeper technical and strategic insights, enabling the professional to drive complex data solutions and innovations at the organizational level. Special Certification or Training Required: Certified Data Management Professional (CDMP) – Preferred for expertise in data architecture and governance is preferred. Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Engineer Associate is preferred. Required Industry Experience: 5+ years of experience in hands-on data modeling and data engineering, with a proven track record of designing and implementing data models for large-scale enterprise data initiatives. Expertise in designing, implementing, and optimizing data models and data ecosystems. Strong background in data governance, with a focus on enforcing data quality, consistency, and compliance standards. Hands-on experience in data integration, migration, and transformation projects within a large-scale business setting. Technological Requirements: Extensive experience in various data modeling techniques, including conceptual, logical, and physical models, with a focus on dimensional and semantic modeling for analytics. Proficiency in data integration patterns, specifically in designing data models for streaming data platforms and event-driven architectures. Hands-on experience with modern cloud data platforms and their associated tools (Databricks, Snowflake, Big Query, Synapse), including creating and optimizing data models within these ecosystems. Strong command of ETL/ELT frameworks and API-based data delivery, with the ability to design data structures that support efficient data pipelines. Practical experience with metadata management, data catalogs, and data quality frameworks, ensuring the integrity and discoverability of data models. Knowledge of data governance, lineage, and compliance requirements as they relate to data model design and implementation. Expertise in designing and optimizing data models for both relational (e.g., Oracle, SQL Server, Postgre SQL) and NoSQL (e.g., Mongo DB, Cassandra) databases. Language Requirements: Fluent in English.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><p>Overview</p><br><p>We are seeking a motivated Mechanical BIM Coordinator / Modeler to support the development and coordination of mechanical engineering BIM models across various building projects. The candidate will work closely with multidisciplinary teams to ensure accurate and coordinated project delivery.</p><br><p>Your role</p><br><ul><li>Create, update, and maintain Mechanical BIM models using Autodesk Revit.</li><li>Model and coordinate HVAC, Plumbing, Drainage, Fire Fighting, and other mechanical building services systems.</li><li>Collaborate with architectural, structural, electrical, and other project stakeholders to ensure model integration.</li><li>Conduct clash detection, troubleshooting, and coordination using Autodesk Navisworks.</li><li>Assist engineering teams in producing coordinated drawings and project deliverables.</li><li>Participate in BIM coordination meetings and contribute to technical discussions.</li><li>Ensure compliance with project BIM standards, company procedures, and client requirements.</li><li>Support BIM model audits, quality checks, and validation activities.</li><li>Generate schedules, quantities, and model-based reports when required.</li><li>Contribute to the development and maintenance of BIM templates, families, and standards.</li></ul>About you<ul><li>Bachelor's Degree in Mechanical Engineering.</li><li>4–6 years of experience in Mechanical BIM Modeling and Coordination.</li><li>Strong proficiency in Autodesk Revit MEP and Navisworks.</li><li>Experience in HVAC, Plumbing, Drainage, and Fire Fighting systems modeling.</li><li>Good understanding of multidisciplinary coordination and clash management.</li><li>Familiarity with BIM standards, BIM Execution Plans (BEP), LOD requirements, and model management procedures.</li><li>Experience with Autodesk Construction Cloud (ACC) or BIM 360 is preferred.</li><li>Strong problem-solving, communication, and coordination skills.</li><li>Experience working on large-scale building projects is an advantage.</li></ul><p><b><span>Preferred Requirement</span></b></p><br><ul><li><span>Experience with international design consultants/contractors and multidisciplinary design environments.</span></li><li><span>Knowledge of AutoCAD, Dynamo, ACC/BIM 360, and IFC workflows.</span></li><li><span>Familiarity with international BIM standards (ISO 19650).</span></li><li><span>Experience supporting projects through detailed design and construction stages.</span></li><li><span>Ability to work independently while coordinating effectively within a BIM team.</span></li></ul><span>Rewards &amp; benefits</span><p><span>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</span></p><br><p><span>This includes:</span></p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, familycare, personal health, fitness, and nutrition.</li></ul><p><span>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</span></p><br><span>About AtkinsRéalis</span><p><span>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. </span></p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

Key Responsibilities Lead the implementation, management, and coordination of BIM processes across all project disciplines. Develop, implement, and maintain BIM Execution Plans (BEPs), BIM standards, workflows, and project protocols. Lead multidisciplinary design reviews, clash detection, model coordination, and model quality assurance. Manage BIM deliverables, Common Data Environment (CDE) platforms, model exchanges, and project documentation. Coordinate closely with consultants, contractors, subcontractors, and project teams to ensure compliance with client BIM requirements and project standards. Monitor BIM performance, workflows, and deliverables throughout the project lifecycle. Lead, supervise, and mentor BIM Coordinators, BIM Engineers, and Modelers. Support digital construction initiatives, including 4D/5D BIM, model-based planning, and construction optimization, where applicable. Promote continuous improvement and the effective adoption of BIM and digital delivery standards across the project. Requirements Bachelor's degree in Architecture, Civil Engineering, Construction Management, or a related field.12+ years of experience in the construction industry, including at least 5 years in a BIM Management role. Strong proficiency in Autodesk Revit, Navisworks, Autodesk Construction Cloud (ACC)/BIM 360, and related BIM technologies. Strong working knowledge of ISO 19650 principles, BIM standards, information management, and CDE workflows. Proven experience managing multidisciplinary BIM coordination and delivering complex construction projects. Strong understanding of BIM deliverables, model QA/QC, clash detection, coordination, and information management. Demonstrated leadership experience managing and mentoring BIM teams.

???? We’re Hiring | Landscape BIM Engineer – Technical Office AIM United Company LTD is looking for a Landscape BIM Engineer to join our team. Experience: 2–3 Years Location: Dokki, Giza Working Hours: 9:00 AM – 5:00 PM Work Mode: On-site Key Responsibilities• Develop Landscape BIM/Revit models for hardscape, softscape, site elements, and external works.• Prepare IFC, detailed design, shop drawings, and BIM documentation.• Develop coordinated Revit models and drawings according to project requirements and BIM standards.• Develop Civil 3D models and grading works, including levels, slopes, and site grading coordination.• Coordinate Landscape models with Architectural, Civil, Structural & MEP disciplines.• Perform model coordination and resolve technical clashes.• Prepare QTOs, BOQs, material schedules, and technical documentation.• Review drawings, specifications, technical submittals, and consultant comments. Requirements 2–3 years of experience in Landscape Engineering / Technical Office / BIM. Advanced Civil 3D – MUSTStrong experience in Landscape BIM/Revit production. Strong proficiency in Revit & Auto CAD. Good understanding of BIM workflows and multidisciplinary coordination. Strong attention to detail and communication skills. Benefits Competitive Salary Social Insurance Medical Insurance???? To Apply:Send your updated CV to: recruiter@aim-united.com

<p>We are seeking an experienced BIM Modeler Infrastructure (Dry Utilities) to support the development and coordination of BIM models and technical drawings for infrastructure projects. The role will focus on dry utility networks , including electrical, telecommunications, street lighting, and related infrastructure systems.</p><p>Job Responsibilities</p><ul><li>Develop and maintain accurate 3D BIM models for dry utility infrastructure works.</li><li>Prepare detailed BIM models and shop drawings based on engineering designs, specifications, and project requirements.</li><li>Model electrical, telecom, street lighting, and other dry utility networks .</li><li>Coordinate dry utility models with roads, wet utilities, structures, and other disciplines.</li><li>Perform clash detection and model coordination and resolve identified conflicts.</li><li>Ensure models comply with project BIM standards, BEP, specifications, and applicable codes.</li><li>Extract plans, sections, details, and schedules from BIM models.</li><li>Update models based on design changes, RFIs, site instructions, and approved revisions.</li><li>Assist BIM Engineers and Coordinators with model audits, coordination meetings, and technical deliverables.</li><li>Maintain proper model structure, naming conventions, levels, coordinates, and data.</li><li>Coordinate with engineers, surveyors, designers, subcontractors, and other project stakeholders.</li><li>Support the preparation of as-built BIM models and final project documentation.</li><li>Ensure all BIM deliverables are completed accurately and within project deadlines.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p>

Job Description :* Develop and maintain BIM models using Revit, Auto CAD, and Navisworks.* Extract data related to electromechanical support systems, including BOQs and design parameters.* Coordinate and integrate support systems into BIM models while ensuring clash-free coordination based on technical design reports.* Create detailed 3D BIM models for the required systems and project components.* Review and interpret technical drawings and design reports to ensure accurate model implementation.* Collaborate with the technical team to maintain model quality and project standards.<br>Requirements :* Bachelor's degree in Electrical Engineering or Mechanical Engineering.* 2 years of experience as a BIM Engineer.* Advanced proficiency in Auto CAD, Revit, Navisworks, and BIM software.* Strong understanding of BIM workflows, multidisciplinary coordination, and 3D modeling.* Ability to interpret technical drawings and design reports.* Kai Tech BIM Diploma is mandatory.* Previous experience in the Engineering industry is preferred.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: MLOps &amp; AI Platform Engineer Job Title: MLOps &amp; AI Platform Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking a skilled MLOps &amp; AI Platform Engineer with 3 11 years of experience to build, automate, and manage scalable machine learning platforms and production AI environments. The ideal candidate will have hands-on expertise in MLOps, Kubernetes, cloud-native AI infrastructure, CI/CD automation, and model lifecycle management. You will be responsible for enabling data scientists and AI engineers to efficiently develop, deploy, monitor, and maintain machine learning models at scale. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and AI infrastructure. Develop and automate end-to-end machine learning pipelines for training, validation, deployment, and monitoring. Implement model versioning, experiment tracking, and model registry solutions. Build scalable CI/CD pipelines for AI/ML workloads. Deploy and manage machine learning workloads on Kubernetes-based environments. Collaborate with Data Scientists, AI Engineers, Data Engineers, and DevOps teams to operationalize ML solutions. Implement Infrastructure as Code (IaC) for cloud-native AI platforms. Monitor platform health, model performance, and infrastructure availability. Ensure platform security, scalability, reliability, and operational excellence. Troubleshoot production issues and continuously optimize platform performance. Required Technical Skills MLOps Platforms Hands-on experience with Kubeflow or Vertex AI Pipelines or SageMaker Pipelines . Strong experience with MLflow for experiment tracking, model registry, and lifecycle management. Experience orchestrating machine learning workflows using Apache Airflow . Containerization &amp; Orchestration Strong expertise in Kubernetes (GKE or AKS or EKS) . Experience deploying and managing containerized AI/ML workloads in cloud environments. Infrastructure Automation Hands-on experience with Terraform for Infrastructure as Code (IaC). Experience automating infrastructure provisioning and cloud resource management. CI/CD &amp; DevOps Experience with GitHub Actions for CI/CD automation. Knowledge of DevOps best practices, Git workflows, and automated deployments. Monitoring &amp; Observability Experience using Prometheus for infrastructure and application monitoring. Knowledge of logging, alerting, and performance monitoring for AI platforms. Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. 3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure. Strong scripting and automation skills using Python, Bash, or similar languages. Excellent analytical and problem-solving skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with Docker and containerized application deployment. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with model monitoring, drift detection, and automated retraining pipelines. Experience implementing security best practices for AI/ML platforms. Cloud and Kubernetes certifications are a plus. Key Technology Stack MLOps Platforms: Kubeflow or Vertex AI Pipelines or SageMaker Pipelines Workflow Orchestration: Apache Airflow and MLflow Container Orchestration: Kubernetes (GKE or AKS or EKS) Infrastructure as Code: Terraform CI/CD: GitHub Actions Monitoring: Prometheus Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Automation: Python and Bash (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. 3 11 years of professional experience in MLOps, DevOps, Platform Engineering, Cloud Engineering, or AI Infrastructure. Strong scripting and automation skills using Python, Bash, or similar languages. Excellent analytical and problem-solving skills. Experience working in Agile/Scrum environments.</p><p>Preferred Skills Experience with Docker and containerized application deployment. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with model monitoring, drift detection, and automated retraining pipelines. Experience implementing security best practices for AI/ML platforms. Cloud and Kubernetes certifications are a plus.</p><p></p></section>

Structure BIM Engineer / Modeler (ST-26-02) Location: Nasr City, Cairo, Egypt GSC Engineering & Geo Consulting is seeking an experienced Structural BIM Engineer/Modeler to join our multidisciplinary engineering team. The successful candidate will be responsible for developing, coordinating, and managing structural BIM models throughout all project phases while ensuring compliance with BIM standards, project requirements, and multidisciplinary coordination across GCC projects. Qualifications Bachelor's degree in Civil Engineering or related field. 5–10 years of experience in Structural BIM Engineering. Experience working in engineering consultancy firms. Experience in GCC projects is highly preferred. Strong communication and coordination skills. Requirements Proficiency in Autodesk Revit Structure is mandatory. Strong knowledge of BIM workflows, BIM Execution Plans (BEP), and Common Data Environment (CDE). Experience with Navisworks Manage for clash detection and coordination. Good knowledge of Auto CAD. Ability to create detailed structural BIM models for reinforced concrete and structural steel projects. Experience producing structural shop drawings, GA drawings, reinforcement detailing, and construction documentation from BIM models. Experience coordinating structural models with Architectural and MEP disciplines. Familiarity with LOD 100–500 requirements. Knowledge of IFC, BIM collaboration workflows, and model exchange standards. Experience reviewing consultant and contractor BIM submissions. Familiarity with ACC (Autodesk Construction Cloud) is an advantage. Ability to support BIM implementation, QA/QC, and model audits. Strong understanding of international engineering standards and BIM best practices. Ability to work on multiple projects while maintaining high-quality deliverables. Benefits Competitive Salary Paid Time Off (PTO) & Public Holidays Professional Development How to Apply Please send your CV to hr@gscconsultings.com and mention "ST-26-02" in the email subject.hr@gscconsultings.comNote: Only shortlisted candidates who meet the required qualifications will be contacted.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.</span></p><br><br><br><p><b><b>Key Responsibilities:</b></b></p><br><br><ul><li><p><span>Design, train, and deploy machine learning models tailored for resource-constrained edge hardware.</span></p><br><br></li><li><p><span>Apply data science methodologies to perform Exploratory Data Analysis (EDA), statistical modeling, and visualization of complex time-series data from powertrain sensors to inform model architecture.</span></p><br><br></li><li><p><span>Perform </span>feature engineering<span> to clean, process, and structure raw sensor datasets, ensuring they are optimized and ready to be fed into the models.</span></p><br><br></li><li><p><span>Conduct </span>hyperparameter tuning<span> to continuously optimize machine learning models for higher accuracy and peak performance.</span></p><br><br></li><li><p><span>Optimize model </span>inference<span> and runtime predictions to meet strict real-time execution constraints on target edge hardware.</span></p><br><br></li><li><p><span>Develop real-time application logic using C and C++ while leveraging Python for model training and data preprocessing.</span></p><br><br></li><li><p><span>Optimize ML models using techniques such as quantization (e.g., float32 to int8), model pruning, and memory optimization.</span></p><br><br></li><li><p><span>Process, filter (e.g., using Kalman filters), and synchronize noisy data acquired from physical temperature and current sensors.</span></p><br><br></li><li><p><span>Interface with and customize hardware platforms, including Raspberry Pi capabilities, Linux/Raspbian OS, GPIO, and SPI.</span></p><br><br></li><li><p><span>Test, benchmark, and validate the performance of ML estimators against real hardware setups or high-fidelity powertrain simulators.</span></p><br><br></li></ul><p><b><b>Requirements:</b></b></p><br><br><ul><li><p><span>Proven experience in </span>feature engineering<span>, dataset preparation, and data pipeline development.</span></p><br><br></li><li><p><span>Solid background in applied data science, statistical analysis, anomaly detection, and data visualization for time-series sensor data.&nbsp;</span></p><br><br></li><li><p><span>Strong knowledge of </span>hyperparameter tuning<span> methodologies to maximize model accuracy and efficiency.</span></p><br><br></li><li><p><span>Deep understanding of model </span>inference<span> optimization and low-latency runtime prediction behavior.</span></p><br><br></li><li><p><span>Strong programming skills in C, C++, and Python.</span></p><br><br></li><li><p><span>Deep understanding of Raspberry Pi hardware, Linux/Raspbian OS customization, and embedded hardware interfaces (GPIO, SPI).</span></p><br><br></li><li><p><span>Practical experience in model optimization, quantization, and pruning to meet strict hardware constraints.</span></p><br><br></li><li><p><span>Solid background in signal processing and handling noisy data from physical sensors.</span></p><br><br></li><li><p><span>Experience validating ML models against real hardware or advanced simulators.</span></p><br><br></li><li><p><span>Experience in TensorFlow Lite for Microcontrollers &amp; SciKit Learn is a plus</span></p><br><br></li></ul><br><p><b><b>Experience:</b></b></p><br><br><ul><li><p><span>3+ years of relevant experience in machine learning, edge computing, or embedded software development.</span></p><br><br></li></ul><p><b>Job:</b></p><br><br>Engineering Disciplines<p><b>Organization:</b></p><br><br>Software Development<p><b>Schedule:</b></p><br><br>Full time<p><b>Employee Status:</b></p><br><br>Regular<p><b>Job Type:</b></p><br><br>Annual Contract<p><b>Job Posting Date:</b></p><br><br>2026-07-14<p><i>Join Us !<br>Being part of our team, you will join:<br>- one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development<br>- a multi-cultural environment that values diversity and international collaboration<br>- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth<br>- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development<br>More information on Valeo: <u><span>https://www.valeo.com</span></u></i></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.</p><p>Role Responsibilities</p><ul><li>Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.</li><li>Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.</li><li>Architect Agentforce solutions, including:<ul><li>Agents and sub-agents</li><li>Topics</li><li>Actions (Apex, Flow, Prompt-based, and Invocable Actions)</li><li>Instructions and orchestration</li></ul></li><li>Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.</li><li>Design scalable Salesforce platform architectures, including:<ul><li>Data model</li><li>Sharing and visibility model</li><li>Security architecture</li></ul></li><li>Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.</li><li>Produce technical architecture documentation, solution blueprints, and executive presentations.</li><li>Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.</li><li>Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.</li><li>Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.</li><li>Provide technical leadership and mentoring to project teams throughout the solution lifecycle.</li></ul><p>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</p><p>Strong understanding of Agentforce architecture, including:</p><ul><li>Agents</li><li>Sub-agents</li><li>Topics</li><li>Actions</li><li>Instructions</li><li>Orchestration</li></ul><p>Experience facilitating AI use case discovery and designing agent care plans.</p><p>Strong expertise in Salesforce Data Cloud (Data 360), including:</p><ul><li>Data modelling</li><li>Batch and streaming ingestion</li><li>Data harmonisation</li><li>Identity resolution</li></ul><p>Deep understanding of Retrieval-Augmented Generation (RAG), including:</p><ul><li>Vector databases</li><li>Embedding and chunking strategies</li><li>Retrieval optimisation</li><li>Grounding using Data Cloud and external knowledge sources</li></ul><p>Strong Salesforce platform architecture experience covering:</p><ul><li>Data modelling</li><li>Security architecture</li><li>Sharing and visibility model (OWD, Roles, Sharing Rules)</li></ul><p>Advanced development skills in:</p><ul><li>Apex</li><li>Lightning Web Components (LWC)</li><li>Salesforce Flow</li></ul><p>Experience designing enterprise integration patterns connecting Agentforce with external systems.</p><p>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</p><p>Understanding of the Agentforce consumption model.</p><p>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</p><p>Nice to Have</p><ul><li>Knowledge of Model Context Protocol (MCP).</li><li>Experience with Agent-to-Agent (A2A) integration patterns.</li><li>Experience designing headless Salesforce architectures.</li><li>Agentblazer Legend status.</li><li>Agentforce FDE Ready Practitioner accreditation.</li></ul><p>Preferred Salesforce Certifications</p><ul><li>Salesforce Application Architect</li><li>Salesforce Data Cloud Consultant</li><li>Salesforce Agentforce Specialist</li></ul><p>Fully remote engagement. Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations. Collaborate with leading enterprise clients on large-scale digital transformation programmes. Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</li><li>Strong understanding of Agentforce architecture, including: Agents, Sub-agents, Topics, Actions, Instructions, Orchestration.</li><li>Experience facilitating AI use case discovery and designing agent care plans.</li><li>Strong expertise in Salesforce Data Cloud (Data 360), including: Data modelling, Batch and streaming ingestion, Data harmonisation, Identity resolution.</li><li>Deep understanding of Retrieval-Augmented Generation (RAG), including: Vector databases, Embedding and chunking strategies, Retrieval optimisation, Grounding using Data Cloud and external knowledge sources.</li><li>Strong Salesforce platform architecture experience covering: Data modelling, Security architecture, Sharing and visibility model (OWD, Roles, Sharing Rules).</li><li>Advanced development skills in: Apex, Lightning Web Components (LWC), Salesforce Flow.</li><li>Experience designing enterprise integration patterns connecting Agentforce with external systems.</li><li>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</li><li>Understanding of the Agentforce consumption model.</li><li>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</li><li>Knowledge of Model Context Protocol (MCP).</li><li>Experience with Agent-to-Agent (A2A) integration patterns.</li><li>Experience designing headless Salesforce architectures.</li><li>Agentblazer Legend status.</li><li>Agentforce FDE Ready Practitioner accreditation.</li><li>Preferred Salesforce Certifications: Salesforce Application Architect, Salesforce Data Cloud Consultant, Salesforce Agentforce Specialist.</li></ul><p></p></section>

<p>We are looking for an experienced Model-Based Development (MBD) Engineer to support automotive embedded software development activities. The ideal candidate will have strong expertise in MATLAB/Simulink and proven experience developing, validating, and integrating model-based software solutions for automotive Electronic Control Units (ECUs). The engineer will work closely with system, software, and validation teams to develop control algorithms, generate production code, and support integration into embedded automotive platforms.</p><ul><li>Develop and maintain control algorithms using MATLAB and Simulink.</li><li>Create and modify system and software models based on requirements.</li><li>Perform model verification and validation.</li><li>Generate production-ready embedded C code using Embedded Coder.</li><li>Support integration of generated code into automotive ECU software platforms.</li><li>Analyze and troubleshoot software issues identified during testing and vehicle integration.</li><li>Collaborate with systems, software, and calibration engineers.</li><li>Maintain compliance with automotive development processes and quality standards.</li><li>Participate in design reviews and technical discussions.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Must have Strong experience with: MATLAB Simulink Good knowledge of: Embedded C programming Automotive ECU software architecture Software debugging and analysis Version control systems (Git preferred) Experience with: Model-Based Design workflows MIL, SIL, and HIL testing Requirements traceability Automotive software integration Nice to have Powertrain Controls Body Controls Chassis Systems ADAS</p>