Model Jobs in UAE

Job Details<br><br>Location: United Arab Emirates<br><br>Sector: Rail / Transport Infrastructure<br><br>Contract: 12-month assignment (Renewable)<br><br>Availability: Immediate or short notice preferred<br><br>Work arrangement: UAE-based; availability for site coordination as required<br><br>Company Description<br><br>We are an international engineering and technology company supporting complex infrastructure and transportation projects worldwide.<br><br>For an ongoing rail and transport infrastructure project in the UAE, we are seeking an experienced BIM Modeler to support the development and updating of BIM models for CCTV, Access Control and Telecom systems.<br><br>Job Description<br><br>The BIM Modeler will be responsible for creating, updating and coordinating BIM models based on design drawings, installation records, technical documentation and verified project information.<br><br>The role requires strong hands-on experience with Autodesk Revit, Navisworks and Auto CAD, together with a good understanding of CCTV, Access Control, Telecom, ELV and low-voltage systems.<br><br>The selected candidate will work closely with CAD, engineering and technical teams to ensure that all BIM models accurately represent the installed systems and comply with project coordination and documentation requirements.<br><br>Key Responsibilities<br><br>Develop and update BIM models for CCTV, Access Control and Telecom systems. Convert available design and As-Built information into accurate coordinated BIM models. Model CCTV devices, cameras, equipment locations and associated system components. Model Access Control System devices, interfaces and low-voltage installations. Model Telecom equipment, cable pathways, fibre routes and related infrastructure. Incorporate architectural interfaces and cable-containment requirements into BIM models. Review technical drawings, installation records and engineering information. Coordinate BIM models with architectural, structural and other engineering disciplines. Conduct model reviews and identify clashes or coordination issues using Navisworks. Update models based on verified site information and technical-team comments. Maintain model accuracy, file structure, revision control and documentation consistency. Produce model views, coordinated drawings and other BIM deliverables as required. Support the preparation of final As-Built BIM models and technical handover documentation. Coordinate with CAD specialists, engineers, technicians and project stakeholders. Participate in technical coordination meetings and model-review sessions. Attend site coordination or verification activities when required. Ensure compliance with project BIM standards, naming conventions and documentation procedures.<br><br>Required Qualifications And Experience<br><br>Diploma or degree in Electrical Engineering, Electronics, Telecommunications, BIM, Drafting or a related technical discipline. Proven experience as a BIM Modeler, BIM Technician or BIM Coordinator. Strong hands-on proficiency in Autodesk Revit. Practical experience using Navisworks for model review and coordination. Working knowledge of Auto CAD. Demonstrable experience developing or updating BIM models. Experience with CCTV, Access Control, Telecom, ELV or low-voltage systems. Good understanding of cable pathways, containment systems and equipment layouts. Ability to interpret engineering drawings, Telecom designs and technical documentation. Understanding of multidisciplinary BIM coordination and clash detection. Previous experience within rail, transport infrastructure or major infrastructure projects is preferred. Ability to work accurately under demanding project deadlines. Strong attention to detail and model quality. Good written and verbal communication skills. Ability to coordinate effectively with multidisciplinary technical teams. Immediate availability or a short notice period is strongly preferred.<br><br>Additional Information<br><br>The position is based in the United Arab Emirates and requires availability for project and site coordination when necessary.<br><br>Candidates must already be located in the UAE or able to mobilize within a short timeframe.<br><br>Only candidates with relevant hands-on experience in CCTV, Access Control, Telecom or ELV BIM modelling should apply.<br><br>SEGULA Technologies is a global engineering group, boosting the competitiveness of all major industrial sectors: automotive, aerospace, energy, rail, naval, life sciences, and telecoms. With a presence in more than 30 countries and 140 locations worldwide, the Group prioritizes close relationships with its clients, driven by the expertise of its 15,000 employees. As a leading engineering player putting innovation at the heart of its strategy, SEGULA Technologies manages large-scale projects, ranging from initial studies to industrialization and production. SEGULA TECHNOLOGIES is dedicated to gender balance and diversity, recognizing and recruiting talent of all backgrounds.

Job Details<br><br>Location: United Arab Emirates<br><br>Sector: Rail / Transport Infrastructure<br><br>Contract: 12-month assignment (Renewable)<br><br>Availability: Immediate or short notice preferred<br><br>Work arrangement: UAE-based; availability for site coordination as required<br><br>Company Description<br><br>We are an international engineering and technology company supporting complex infrastructure and transportation projects worldwide.<br><br>For an ongoing rail and transport infrastructure project in the UAE, we are seeking an experienced BIM Modeler to support the development and updating of BIM models for CCTV, Access Control and Telecom systems.<br><br>Job Description<br><br>The BIM Modeler will be responsible for creating, updating and coordinating BIM models based on design drawings, installation records, technical documentation and verified project information.<br><br>The role requires strong hands-on experience with Autodesk Revit, Navisworks and Auto CAD, together with a good understanding of CCTV, Access Control, Telecom, ELV and low-voltage systems.<br><br>The selected candidate will work closely with CAD, engineering and technical teams to ensure that all BIM models accurately represent the installed systems and comply with project coordination and documentation requirements.<br><br>Key Responsibilities<br><br>Develop and update BIM models for CCTV, Access Control and Telecom systems. Convert available design and As-Built information into accurate coordinated BIM models. Model CCTV devices, cameras, equipment locations and associated system components. Model Access Control System devices, interfaces and low-voltage installations. Model Telecom equipment, cable pathways, fibre routes and related infrastructure. Incorporate architectural interfaces and cable-containment requirements into BIM models. Review technical drawings, installation records and engineering information. Coordinate BIM models with architectural, structural and other engineering disciplines. Conduct model reviews and identify clashes or coordination issues using Navisworks. Update models based on verified site information and technical-team comments. Maintain model accuracy, file structure, revision control and documentation consistency. Produce model views, coordinated drawings and other BIM deliverables as required. Support the preparation of final As-Built BIM models and technical handover documentation. Coordinate with CAD specialists, engineers, technicians and project stakeholders. Participate in technical coordination meetings and model-review sessions. Attend site coordination or verification activities when required. Ensure compliance with project BIM standards, naming conventions and documentation procedures.<br><br>Required Qualifications And Experience<br><br>Diploma or degree in Electrical Engineering, Electronics, Telecommunications, BIM, Drafting or a related technical discipline. Proven experience as a BIM Modeler, BIM Technician or BIM Coordinator. Strong hands-on proficiency in Autodesk Revit. Practical experience using Navisworks for model review and coordination. Working knowledge of Auto CAD. Demonstrable experience developing or updating BIM models. Experience with CCTV, Access Control, Telecom, ELV or low-voltage systems. Good understanding of cable pathways, containment systems and equipment layouts. Ability to interpret engineering drawings, Telecom designs and technical documentation. Understanding of multidisciplinary BIM coordination and clash detection. Previous experience within rail, transport infrastructure or major infrastructure projects is preferred. Ability to work accurately under demanding project deadlines. Strong attention to detail and model quality. Good written and verbal communication skills. Ability to coordinate effectively with multidisciplinary technical teams. Immediate availability or a short notice period is strongly preferred.<br><br>Additional Information<br><br>The position is based in the United Arab Emirates and requires availability for project and site coordination when necessary.<br><br>Candidates must already be located in the UAE or able to mobilize within a short timeframe.<br><br>Only candidates with relevant hands-on experience in CCTV, Access Control, Telecom or ELV BIM modelling should apply.<br><br>SEGULA Technologies is a global engineering group, boosting the competitiveness of all major industrial sectors: automotive, aerospace, energy, rail, naval, life sciences, and telecoms. With a presence in more than 30 countries and 140 locations worldwide, the Group prioritizes close relationships with its clients, driven by the expertise of its 15,000 employees. As a leading engineering player putting innovation at the heart of its strategy, SEGULA Technologies manages large-scale projects, ranging from initial studies to industrialization and production. SEGULA TECHNOLOGIES is dedicated to gender balance and diversity, recognizing and recruiting talent of all backgrounds.

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Due to the continuing success and growth of our AESG team, a fantastic opportunity has opened up at our award-winning Specialist Consultancy, Engineering and Advisory Firm.<br><br>We are headquartered in London, Riyadh, Singapore and Dubai, Cape Town, Cairo & Sydney working throughout the Middle East, Europe and Asia. Our areas of expertise are represented in four core verticals: Building Engineering, Planning and Infrastructure, Strategy and Advisory and Commissioning, Handover and Asset Management.<br><br>We pride ourselves in being leaders in the industry in each of the services that we offer. We have one of the largest dedicated team with decades of cumulative experience in sustainable design, fire and life safety, cost management, façade engineering, commissioning, building performance, waste management, environmental consultancy, carbon management and acoustics.<br><br>As part of our expansion, we are looking to hire a talented Structural BIM Lead to oversee the overall delivery of projects and is responsible for model governance, quality, coordination, standards compliance, and efficient production of model-based and drawing deliverables from concept through handover.<br><br>Responsibilities<br><br> Lead and manage implementation of structural BIM processes across project stages. Ensure models are developed in accordance with the BIM Execution Plan, project standards, and company protocols. Lead and develop the structural BIM team capability. Manage the development, maintenance, health, and quality of the discipline BIM model. Coordinate multidisciplinary BIM models and support clash-free, coordinated delivery. Be capable of generating and managing 2D deliverables from the BIM model, including plans, sections, elevations, and details. Conduct audits, model checks, and quality reviews using Revit tools and checking workflows. Support drawing extraction, sheet set-up, annotations, title blocks, templates, and submission reviews. Coordinate with design teams on model set-up, CDE workflows, and project-specific BIM requirements.<br><br>Qualifications<br><br> BSc. degree in Civil / Structural Engineering or related field. Typically, 15+ years of BIM/digital delivery experience. Strong Revit capability and experience with BIM Execution Plans, LOD, and project set-up. Familiarity with interoperability between Revit and other discipline tools. Knowledge of Dynamo, Grasshopper, Rhino, API-based workflows, or automation tools preferred. Strong understanding of model quality assurance and multidisciplinary coordination.

Due to the continuing success and growth of our AESG team, a fantastic opportunity has opened up at our award-winning Specialist Consultancy, Engineering and Advisory Firm.<br><br>We are headquartered in London, Riyadh, Singapore and Dubai, Cape Town, Cairo & Sydney working throughout the Middle East, Europe and Asia. Our areas of expertise are represented in four core verticals: Building Engineering, Planning and Infrastructure, Strategy and Advisory and Commissioning, Handover and Asset Management.<br><br>We pride ourselves in being leaders in the industry in each of the services that we offer. We have one of the largest dedicated team with decades of cumulative experience in sustainable design, fire and life safety, cost management, façade engineering, commissioning, building performance, waste management, environmental consultancy, carbon management and acoustics.<br><br>As part of our expansion, we are looking to hire a talented Structural BIM Lead to oversee the overall delivery of projects and is responsible for model governance, quality, coordination, standards compliance, and efficient production of model-based and drawing deliverables from concept through handover.<br><br>Responsibilities<br><br> Lead and manage implementation of structural BIM processes across project stages. Ensure models are developed in accordance with the BIM Execution Plan, project standards, and company protocols. Lead and develop the structural BIM team capability. Manage the development, maintenance, health, and quality of the discipline BIM model. Coordinate multidisciplinary BIM models and support clash-free, coordinated delivery. Be capable of generating and managing 2D deliverables from the BIM model, including plans, sections, elevations, and details. Conduct audits, model checks, and quality reviews using Revit tools and checking workflows. Support drawing extraction, sheet set-up, annotations, title blocks, templates, and submission reviews. Coordinate with design teams on model set-up, CDE workflows, and project-specific BIM requirements.<br><br>Qualifications<br><br> BSc. degree in Civil / Structural Engineering or related field. Typically, 15+ years of BIM/digital delivery experience. Strong Revit capability and experience with BIM Execution Plans, LOD, and project set-up. Familiarity with interoperability between Revit and other discipline tools. Knowledge of Dynamo, Grasshopper, Rhino, API-based workflows, or automation tools preferred. Strong understanding of model quality assurance and multidisciplinary coordination.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Applied Scientists across different experience levels to design, develop, experiment with, and evaluate advanced AI/ML solutions that solve real-world business problems.<br> The role involves taking machine learning problems from problem framing and experimentation through model development, evaluation, and production deployment .<br> Depending on experience, the successful candidate may also contribute to scientific leadership, mentor other team members, and help establish best practices across applied research and machine learning delivery.<br> We are looking for candidates with strong foundations in machine learning who can balance state-of-the-art techniques with practical business requirements , delivering reliable and measurable AI/ML solutions.<br> Key Responsibilities Translate business problems into well-defined machine learning problems with clear objectives and measurable success criteria.<br> Design, develop, train, and evaluate machine learning and AI models based on business requirements.<br> Apply appropriate techniques across areas including: Classical Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Generative AI Large Language Models (LLMs) Define experimentation strategies, establish appropriate baselines, and conduct rigorous model evaluation.<br> Perform statistical analysis, experimentation, error analysis, and model validation to assess model performance.<br> Work closely with Data Engineers to define data requirements, feature pipelines, and dataset quality standards.<br> Collaborate with Software Engineering and MLOps teams to productionise machine learning models and AI solutions .<br> Contribute to model monitoring, performance tracking, model lifecycle management, and continuous improvement.<br> Apply responsible AI principles, considering fairness, explainability, robustness, privacy, and reliability .<br> Communicate technical findings, experimental results, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.<br> Contribute to technical documentation, research, experimentation, and knowledge-sharing activities.<br> For experienced candidates, provide scientific leadership, review ML work, mentor junior scientists, and help raise the overall technical standard of the team.<br> Required Technical SkillsMachine Learning &amp; AI Strong understanding of machine learning and deep learning concepts, including experience with relevant techniques across: Supervised and unsupervised learning Classification and regression Model evaluation and validation Feature engineering Deep learning NLP Computer Vision Generative AI / LLM-based applications The specific depth expected will vary based on the candidate's experience level.<br> ML Frameworks Experience with one or more of the following: PyTorch TensorFlow scikit-learn Strong candidates should demonstrate the ability to select appropriate frameworks and modelling approaches based on the problem being solved.<br> Programming Strong proficiency in Python .<br> Experience developing machine learning experimentation and modelling workflows.<br> Ability to write clean, maintainable, and reproducible code.<br> Experimentation &amp; Model Evaluation Strong understanding of experimental design.<br> Statistical analysis and hypothesis-driven experimentation.<br> Model evaluation and benchmarking.<br> Baseline development.<br> Error analysis.<br> Model validation and performance optimization.<br> Production ML &amp; MLOps Experience with taking ML models or AI solutions from experimentation into production, including: Model deployment Model monitoring Model lifecycle management MLOps workflows Collaboration with engineering and data teams Cloud-based machine learning environments Experience with cloud ML platforms and MLOps tooling is highly desirable.<br> Generative AI / LLM Experience Experience with Generative AI and LLM-based solutions will be highly valued, particularly experience taking such solutions beyond experimentation into production.<br> Relevant experience may include: LLM-based applications Generative AI solutions Model evaluation Prompt-based experimentation AI application development Production deployment and monitoring of GenAI solutions Responsible AI Candidates should understand the importance of responsible AI and, where relevant, demonstrate experience considering: Fairness Explainability Robustness Privacy Model reliability Responsible model deployment Collaboration &amp; Stakeholder Management Work closely with Data Engineers, Software Engineers, MLOps teams, Product teams, and business stakeholders .<br> Clearly communicate technical findings and modelling trade-offs.<br> Translate complex scientific concepts into understandable recommendations for non-technical stakeholders.<br> Collaborate effectively in cross-functional and Agile environments.<br> Leadership &amp; Mentoring For experienced candidates: Provide scientific leadership within the squad.<br> Review modelling approaches and scientific work.<br> Mentor Applied Scientists and junior ML practitioners.<br> Establish and promote strong experimentation and modelling practices.<br> Contribute to the overall applied research and machine learning standards of the team.<br> For junior candidates, prior mentoring or leadership experience is not mandatory.<br> Qualifications MSc or PhD in: Computer Science Machine Learning Artificial Intelligence Statistics Mathematics Data Science or another relevant quantitative discipline Equivalent practical industry experience may also be considered.<br> Experience Levels We welcome candidates across 0–15+ years of experience .<br> Junior / Entry-Level Suitable candidates may have: Strong academic foundation in ML/AI.<br> Relevant MSc/PhD or equivalent project experience.<br> Strong Python and ML framework knowledge.<br> Research, thesis, internship, or practical ML project experience.<br> Mid-Level Candidates should demonstrate: Independent ML model development.<br> Strong experimentation and evaluation experience.<br> Experience working with data and engineering teams.<br> Exposure to production ML or MLOps environments.<br> Senior / Lead-Level Candidates should additionally demonstrate: End-to-end ownership of production ML solutions.<br> Strong scientific and technical leadership.<br> Experience with GenAI/LLM applications where relevant.<br> Mentoring and scientific review capabilities.<br> Strong stakeholder communication and decision-making skills.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><span>Country Manager – Egypt, Lebanon &amp; Syria</span></b></p><br><br><p><b><span>Role Responsibilities:</span></b><span><span>The Country Manager</span><span>is responsible for</span><span>leading and growing the business across Egypt, Lebanon, and Syria. This role has full accountability for country performance, including revenue growth, profitability, customer satisfaction, operational excellence,</span><span>people</span><span>leadership, digital transformation, retail excellence, and strategic execution. The Country Manager will develop and implement country business plans, strengthen key</span><span>customer</span><span>and partner relationships, drive omnichannel growth strategies, and ensure alignment with regional and global business</span><span>objectives</span><span>.</span></span></p><br><br><p><b><span>Role Responsibilities</span></b></p><br><br><p><b><span>Business Leadership &amp; Growth</span></b></p><br><br><ul><li><p><span><span>Develop and execute country business strategies to achieve revenue, profitability, and market share</span><span>objectives</span><span>.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Identify</span><span>and capitalize on new business opportunities across assigned markets.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Drive sustainable business growth through customer acquisition, retention, and expansion initiatives.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Monitor market trends, competitive activities, retail landscape shifts, and digital commerce developments to inform strategic decisions.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Champion omnichannel business models integrating physical retail and digital platforms to enhance customer engagement and revenue growth.</span></span></p><br></li></ul><br><p><b><span>Financial Management</span></b></p><br><br><ul><li><p><span><span>Own country P&amp;L and ensure achievement of financial targets.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop annual budgets, forecasts, and strategic business plans.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Monitor business performance and implement corrective actions where</span><span>required</span><span>.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>E</span><span>nsure efficient resource</span><span>utilization</span><span>and cost management.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Drive investment decisions that support digital capability development and long-term business growth.</span></span></p><br></li></ul><br><p><b><span>Customer &amp; Stakeholder Management</span></b></p><br><br><ul><li><p><span><span>Build and</span><span>maintain</span><span>strong relationships with key customers, partners, distributors, and government stakeholders.</span></span></p><br></li></ul><br><ul><li><p><span><span>Act as the primary executive representative for the company within the assigned countries.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure</span><span>high levels</span><span>of customer satisfaction and service excellence.</span></span></p><br></li></ul><br><br><p><b><span>Operational Excellence</span></b></p><br><br><ul><li><p><span><span>Build and</span><span>maintain</span><span>strong relationships with key customers, retail partners, distributors, digital ecosystem partners, and government stakeholders.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Act as the primary executive representative for the company within the assigned countries.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure</span><span>high levels</span><span>of customer satisfaction and service excellence across both retail and digital channels.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Foster strategic partnerships that accelerate market penetration and digital adoption.</span></span></p><br></li></ul><br><p><b><span>Strategic Planning</span></b></p><br><br><ul><li><p><span><span>Translate regional strategies into executable country plans and support the send regions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Identify</span><span>risks and opportunities and develop mitigation strategies.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>&nbsp;Collaborate closely with regional and global teams to ensure business alignment.&nbsp;</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop market entry, expansion, and transformation strategies to strengthen the company's retail and digital footprint across Egypt, Lebanon, and Syria.</span></span></p><br></li></ul><br><br><p><b><span>Role Requirements</span></b></p><br><br><ul><li><p><span><span>Strong background in the money transfer, remittance, payments, fintech, or financial services industry.</span></span></p><br></li></ul><br><ul><li><p><span><span>Mandatory experience in</span><span>digital and</span><span>retail-focused businesses, with a strong</span><span>track record</span><span>of driving commercial growth, customer acquisition, and market expansion</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>Proven experience managing multi-country operations, ideally across growth markets, with responsibility for both inbound and outbound business performance.</span></span></p><br></li></ul><br><ul><li><p><span><span>Demonstrated experience managing business activities across three or more countries, with the ability to navigate diverse regulatory, commercial, and cultural environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience in digital channels, digital transformation, and omnichannel business models is highly preferred.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with digital wallets, mobile payments, or wallet-based financial solutions is strongly preferred.</span></span></p><br></li></ul><br><ul><li><p><span><span>Deep knowledge and hands-on business experience in Lebanon is essential; candidates must</span><span>demonstrate</span><span>a successful</span><span>track record</span><span>of operating and growing businesses in the Lebanese market.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong commercial acumen with proven ownership of revenue growth, profitability, and P&amp;L management.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ability to build and</span><span>maintain</span><span>strategic relationships with partners, agents, distributors, regulators, and government stakeholders.</span></span></p><br></li></ul><br><ul><li><p><span><span>Excellent strategic planning, negotiation, communication, and stakeholder management skills.</span></span></p><br></li></ul><br><ul><li><p><span><span>Willingness and ability to travel up to 50% of the time across Lebanon, Egypt, Syria, and other assigned markets.</span></span></p><br></li></ul><br><p><b><span>Join us, and</span><span>let’s</span><span>connect with the world</span></b><span><span>.</span></span></p><br><br><p><span><span>Western</span><span>Union is transforming the financial services sector by driving quality, convenience, and customer service to new heights. As the world’s largest cross-border money transfer operator, trusted by millions,</span><span>we’re</span><span>on a mission to become the most accessible financial services provider — empowering lives and communities along the way.</span></span></p><br><br><p><span><span>As we support our global customer base,</span><span>we’re</span><span>equally committed to helping our employees grow.</span><span>You’ll</span><span>have the opportunity to develop your skills, build a meaningful career, and enjoy a competitive compensation package.</span></span></p><br><br><p><span><span>If</span><span>you’re</span><span>ready to help shape the future of financial services,</span><span>it’s</span><span>time for</span><span>Western</span><span>Union. Learn more about our people and purpose at</span></span><u><span>https://careers.westernunion.com</span></u><span><span>.</span></span></p><br><br><p><b><span>Benefits</span></b></p><br><br><p><span><span>In addition to a competitive salary,</span><span>you’ll</span><span>enjoy:</span></span></p><br><br><ul><li><p><span><span>Short-term incentives</span></span></p><br></li></ul><br><ul><li><p><span><span>Health and life insurance</span></span></p><br></li></ul><br><ul><li><p><span><span>Access to best-in-class development platforms</span></span></p><br></li></ul><br><ul><li><p><span><span>End-of-service benefits</span></span></p><br></li></ul><br><ul><li><p><span><span>Gym/Sports reimbursements</span></span></p><br></li></ul><br><ul><li><p><span><span>Global Travel Policy</span></span></p><br></li></ul><br><p><span><span>Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise</span><span>objectives</span><span>which will</span><span>ultimately help</span><span>us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. &nbsp;</span></span></p><br><br><p><span><span>Our</span></span><b><span>Hybrid Work Model</span></b><span><span>categorizes each role into</span><span>one of three</span><span>categories.</span><span>Western</span><span>Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. &nbsp;</span></span></p><br><br><p><b><span>We are passionate about diversity.</span></b></p><br><br><p><span><span>Western</span><span>Union is committed to fostering an inclusive culture that celebrates diverse backgrounds and perspectives, reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex, sexual orientation, gender identity, age, disability, or marital status.</span></span></p><br><br><p><span><span>#LI-LP1 #LI-Hybrid</span></span></p><br><br><br><p>Estimated Job Posting End Date:</p><br>08-07-2026<p>This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.</p><br> </div>

<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 or pursuing (CIA, ACCA, CA, OR CRMA) is preferred</span></li> <li><span><span>Excellent verbal written, and presentation skills in English and Arabic are mandatory</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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At <strong>Mamas &amp; Papas</strong>, we believe that <i>“no one gets parenting better.”</i> With a host of industry awards and thousands of happy parents to prove it, we’re here to make the parenting journey easier and more joyful. From <strong>strollers to car seats, cribs to baby clothing, and a wide range of nursery furniture</strong>, we provide everything new parents need. Explore our collections online or visit our friendly team in stores across the GCC for expert advice on feeding, changing essentials, and more.</p><br><p>We’re looking for a <strong>Junior Buyer</strong> to join our Buying team and take ownership of a key category within our product assortment. You’ll help shape the range that supports new parents and their families, ensuring we deliver high-quality products at the best value. You ensure proper management of their brand relationships and is responsible for the end-to-end product process.</p><br><p>You’ll be part of a passionate team that values creativity, collaboration, and customer focus. At Mamas &amp; Papas, you’ll help shape the future of parenting solutions across the GCC.</p><br><br><p><span>At Al Tayer Insignia, your career is more than a job — it’s a journey into the heart of luxury retail. For over 40 years, we’ve partnered with the world’s most iconic brands, creating award-winning retail experiences across our boutiques, department stores, and leading online platforms. With stores and outlets across the GCC and a truly seamless omnichannel presence, we bring style, innovation, and heritage together. Here, you’ll join a diverse, customer obsessed, passionate team that celebrates creativity, values individuality, and empowers you to grow. Join us on our journey, reimagining fashion and redefining the meaning of luxury in the region.</span></p><br><br>Responsibilities:<br><p>Strategic Roles and Responsibilities:</p><br><ul><li><p>Develops a detailed understanding of their department and the market trends for the category. Works closely with their Buyer/line manager to clearly define the product strategy and operates in collaboration with the principal brand(s) to execute this via the right assortment.&nbsp;</p><br></li><li><p>Takes on board store team and customer feedback in order to range build the assortment for their particular category.&nbsp;</p><br></li><li><p>Regularly presents and updates VP buying/Head of buying along with the Buyer with performance insights and analysis. Reacts quickly to feedback and requests from senior management.&nbsp;</p><br></li></ul><p>Functional Roles and Responsibilities:</p><br><ul><li><p>Research and sourcing, industry trends and approaches new brands or products areas to include within the portfolio.&nbsp;</p><br></li><li><p>Maintain regular communication with suppliers as applicable. Assist with the efficient ordering delivery and payment of merchandise to reduce the likelihood of queries and problems.&nbsp;</p><br></li><li><p>To assist the Buyer to research and select from home and abroad, the best quality merchandise suppliers have to offer at the best price to maximize sales and profit margins. In conjunction with the Buyer to control the selection of merchandise for the Sales within the agreed markdown and to reach the agreed stock level.&nbsp;</p><br></li><li><p>Place re-orders as applicable in consultation with buyers and communicate relevant information to all relevant parties in planning and supply chain.&nbsp;</p><br></li><li><p>Maintain accurate database of vendor agreements and forward completed vendor agreements to Merchandise Planning.</p><br></li><li><p>Consolidate buying feedback reports and provide buyers with reports and recommendations per brand<br>portfolio</p><br></li></ul><p>People Management Roles and Responsibilities:&nbsp;</p><br><ul><li><p>Assumes responsibility for the outcomes of others. Promotes a sense of urgency and establishes and enforces individual accountability in the team. Works with people to establish explicit performance standards. Is completely on top of what is going on and knows where things stand. Provides balanced<br>feedback at the most critical times.&nbsp;</p><br></li><li><p>Proactively develops relationships with a wide variety of people. Builds immediate rapport, even when facing difficult or tense situations. Understands interpersonal and group dynamics and reacts in an effective manner. Engages input from others constantly and listens with empathy and concern. Readily distinguishes between what’s relevant and what’s unimportant to make sense of complex situations. Looks beyond the obvious and doesn’t stop at the first answers. Analyzes multiple and diverse sources of information to define problems accurately before moving to solutions.&nbsp;</p><br></li><li><p>Delivers messages in a clear, compelling, and concise manner. Articulates messages in a way that is broadly understandable. Adjusts communication content and style to meet the needs of diverse stakeholders.&nbsp;</p><br></li><li><p>Takes consistent action to develop new skills. Finds ways to apply strengths to new issues. Is aware of the skills needed to be successful in different situations and levels. Seeks assignments that stretch him/her beyond comfort zone.&nbsp;</p><br></li><li><p>Decisively makes high-quality decisions, even when based on incomplete information or in the face of uncertainty. Actively seeks input from pertinent sources to make timely and well-informed decisions. Skillfully separates opinions from facts. Is respected by others for displaying superior judgment.</p><br></li></ul><br>Qualifications:<br><ul><li><p>Degree in Fashion or related field is beneficial.&nbsp;</p><br></li><li><p>Junior Buyer experience and expertise typically gained over a period of at least 2years in newborn or childrenswear and 2years of merchandising.&nbsp;</p><br></li><li><p>Good knowledge and experience in the (related) industry through work experience with international principals.&nbsp;</p><br></li><li><p>Proficiency in Microsoft Office and ability to create excellent trend presentations.</p><br></li><li><p>A strong passion and nature sense for trends, taste, and aesthetics at a premium lifestyle level.&nbsp;</p><br></li><li><p>Strong negotiation, analytical and brand management skills.</p><br></li><li><p>Agile mindset, customer focus, collaborative and timely decision making.&nbsp;</p><br></li><li><p>The ability to work calmly and efficiently under pressure in a fast-spaced environment.&nbsp;</p><br></li><li><p>Excellent English communication and interpersonal skills.</p><br></li><li><p>Demonstrates exceptional organizational and time management skills to manage multiple priorities and deadlines efficiently.&nbsp;</p><br></li><li><p>Keen to travel and develop network of professional and business relationships.&nbsp;</p><br></li></ul> </div>

<ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul>

<ul><li><p>Work with large and complex data sets to solve challenging business problems</p></li><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model development</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks</p></li><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment</p></li><li><p>Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools</p></li><li><p>Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p></li><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).</p></li><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data tools</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.</p></li><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)</p></li><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)</p></li><li><p>Educational qualifications: Master in Computer Science or a related field.</p></li></ul><p>Skills</p><p>Machine Learning</p><p>Data Analysis</p><p>Python</p><p>Powered</p>