Machine operator Jobs
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job description</p><p><strong>RESPONSIBILITIES:</strong></p><ul><li><p> Operate excavators to dig trenches, foundations, and other earthworks</p></li><li><p> Read and interpret construction plans and blueprints</p></li><li><p> Perform routine maintenance and safety checks on equipment</p></li><li><p> Collaborate with site supervisors and crew members</p></li><li><p> Ensure compliance with safety regulations and procedures</p></li><li><p> Use GPS and laser systems for precise excavation</p></li><li><p> Load and unload materials as required</p></li><li><p> Clear construction sites of debris and obstructions</p></li><li><p> Monitor equipment performance and report issues</p></li><li><p> Assist with other construction tasks as needed</p></li></ul><br><p>Has Valid License and any other certificates.</p><p>Experience: 2-3 Years</p><p>Nationality: Any</p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Skills</p><p><strong>Key Skills & Qualifications</strong></p><br><ul><li><p>Spatial Awareness: Constant vigilance of the surrounding environment to protect ground workers and avoid obstacles.</p></li><li><p>Hand-Eye Coordination: Exceptional dexterity to maneuver the boom, dipper, and bucket with pinpoint accuracy.</p></li><li><p>Technical Reading: Ability to read and interpret construction blueprints, technical drawings, and grading plans.</p></li><li><p>Mechanical Aptitude: Basic knowledge of heavy machinery to recognize unusual noises or hydraulic issues.</p></li><li><p>Certifications: Industry-recognized credentials or relevant heavy equipment operator certifications.</p></li></ul><br><br><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Operate Merrow Border Machine</p></li><li><p>Cut and stitch fabric accurately</p></li><li><p>Design and apply garment patches</p></li><li><p>Perform garment re-stitching and quality checks</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience in tailoring, cutting, and patch work</p></li><li><p>Skilled in sewing, cutting, and embroidery machines</p></li><li><p>High attention to detail and craftsmanship</p></li></ul><p></p></section>
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<span><span>Role Summary</span></span><p><span><span>APCO is looking for an AI Intern to join our Dubai office and support the development, testing, and application of AI-enabled tools across communications, research, and digital transformation work. This internship is designed for a curious and analytical individual who is interested in how artificial intelligence, natural language processing, and emerging technologies can help organizations better understand issues, audiences, and opportunities. The intern will work closely with the AI and Digital Transformation team to support practical AI use cases, data analysis, research, and experimentation in a fast-paced advisory environment.</span></span></p><br><span><span>Responsibilities</span></span><ul><li><span><span>Support the development, testing, and refinement of AI and natural language processing tools for research, analysis, and communications-related use cases.</span></span></li><li><span><span>Assist with collecting, cleaning, organizing, and analyzing structured and unstructured data from multiple sources.</span></span></li><li><span><span>Help identify patterns, insights, and opportunities that can support client work and internal innovation.</span></span></li><li><span><span>Conduct research on emerging AI tools, digital transformation trends, and relevant applications across communications, public affairs, and advisory work.</span></span></li><li><span><span>Support the preparation of presentations, summaries, reports, and visual outputs that communicate technical insights in a clear and practical way.</span></span></li><li><span><span>Collaborate with team members to test AI models, evaluate outputs, and document findings, recommendations, and potential improvements.</span></span></li><li><span><span>Contribute to internal knowledge sharing by tracking new technologies, tools, and use cases relevant to APCO’s work.</span></span></li></ul><span><span>Requirements</span></span><ul><li><span><span>Currently pursuing or recently completed a degree in computer science, computer engineering, data science, artificial intelligence, or a related field.</span></span></li><li><span><span>Strong interest in artificial intelligence, machine learning, natural language processing, and digital transformation.</span></span></li><li><span><span>Working knowledge of Python and familiarity with common data analysis or machine learning libraries is preferred.</span></span></li><li><span><span>Ability to work with data, conduct research, and communicate insights clearly to both technical and non-technical audiences.</span></span></li><li><span><span>Curious, proactive, and comfortable experimenting with new tools and technologies.</span></span></li><li><span><span>Strong attention to detail, problem-solving skills, and willingness to learn in a collaborative environment.</span></span></li><li><span><span>Excellent written and verbal communication skills in English; Arabic is a plus.</span></span></li><li><span><span>Available to join as an intern in APCO’s Dubai office.</span></span></li></ul><span><span>Careers at APCO</span></span><p><span><span>Through our recruitment, hiring and retention efforts, APCO is committed to building teams to bring the best possible expertise and robust perspectives to our clients. We embrace differences in experience, viewpoint and ideas, starting with our values and extending to our behaviors, policies and practices. We aim to create a positive work experience and welcoming environment where everyone feels they belong and can thrive.</span></span></p><br><br> </div>
<h2 class="h5">Job description</h2>
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</span><p><strong><span>1</span></strong></p><br>
<p><strong><span>Job Details</span></strong></p><br>
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<p><strong><span>Job Title</span></strong></p><br>
<p><span>Senior AI Infrastructure Architect</span></p><br>
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<p><strong><span>Department</span></strong></p><br>
<p><span>Technology</span></p><br>
<p><strong><span>Section</span></strong></p><br>
<p><span>Enterprise Architecture </span></p><br>
<p><strong><span>Unit</span></strong></p><br>
<p><span>NA </span></p><br>
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<p><strong><span>Direct Manager</span></strong></p><br>
<p><span>Enterprise Architecture Section Head</span></p><br>
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<p><strong><span>Direct Reports</span></strong></p><br>
<p><span>NA</span></p><br>
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<p><strong><span>2</span></strong></p><br>
<p><strong><span>Role Purpose</span></strong></p><br>
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<p><span>Design, architect, and govern enterprise infrastructure platforms that support both traditional and AI-enabled workloads. Lead the development of scalable, secure, resilient, and high-performance cloud and hybrid infrastructure architectures that enable Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), data analytics, and enterprise applications in alignment with DCT's technology strategy, architecture principles, and governance standards.</span></p><br>
<p><span>The role focuses on the infrastructure, cloud, platform, networking, security, compute, storage, and operational capabilities required to support AI adoption across the organization, while ensuring reliability, performance, cost optimization, and compliance.</span></p><br>
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<p><strong><span>3</span></strong></p><br>
<p><strong><span>Key Responsibilities</span></strong></p><br>
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<p><strong><span>Infrastructure Strategy and Architecture</span></strong></p><br>
<ul>
<li><span>Develop and maintain enterprise infrastructure architectures that support current and future business and technology requirements, including AI and advanced analytics workloads.</span></li>
<li><span>Define infrastructure standards, reference architectures, and technology roadmaps covering cloud, hybrid cloud, networking, storage, compute, container platforms, and AI infrastructure capabilities.</span></li>
<li><span>Collaborate with Enterprise Architecture, Infrastructure, Security, Data, and Digital teams to ensure infrastructure readiness for AI initiatives.</span></li>
<li><span>Evaluate and recommend infrastructure technologies, cloud services, GPU-enabled environments, and platform services that support enterprise AI adoption.</span></li>
<li><span>Ensure infrastructure architectures align with security, governance, operational, and regulatory requirements.</span></li>
</ul>
<p><strong><span>AI Infrastructure Enablement</span></strong></p><br>
<ul>
<li><span>Design and govern infrastructure platforms supporting AI, Machine Learning, Generative AI, and data-intensive workloads.</span></li>
<li><span>Architect GPU-enabled cloud and on-premises infrastructure to support model training, inference, and AI service deployment.</span></li>
<li><span>Design scalable environments supporting Azure AI Services, Azure OpenAI, Azure Machine Learning, AI Foundry, and related AI platforms.</span></li>
<li><span>Define infrastructure requirements for Retrieval-Augmented Generation (RAG), vector databases, AI assistants, and intelligent automation solutions.</span></li>
<li><span>Ensure AI workloads are deployed using enterprise-grade infrastructure, security, networking, and operational standards.</span></li>
</ul>
<p><strong><span>Cloud and Platform Architecture</span></strong></p><br>
<ul>
<li><span>Lead the design and implementation of cloud-native AI infrastructure solutions considering scalability, availability, security, performance, and operational efficiency.</span></li>
<li><span>Drive adoption of Infrastructure as Code (IaC), automation, containerization, and platform engineering best practices.</span></li>
<li><span>Provide technical guidance on Kubernetes, Docker, cloud platforms, and AI infrastructure deployment models.</span></li>
<li><span>Support the evolution of DevSecOps practices to enable automated infrastructure provisioning and operational excellence.</span></li>
</ul>
<p><strong><span>Infrastructure Management</span></strong></p><br>
<ul>
<li><span>Define infrastructure sizing, resource allocation, performance optimization, and cost management strategies for enterprise and AI workloads.</span></li>
<li><span>Collaborate with operational teams to ensure infrastructure reliability, resilience, and service continuity.</span></li>
</ul>
<p><strong><span>Security, Reliability, and Performance</span></strong></p><br>
<ul>
<li><span>Design secure infrastructure architectures that support enterprise applications and AI workloads.</span></li>
<li><span>Ensure appropriate controls are implemented for identity management, network security, data protection, encryption, and workload isolation.</span></li>
<li><span>Define and implement high availability, disaster recovery, backup, and business continuity strategies.</span></li>
<li><span>Monitor and assess AI infrastructure performance and identify opportunities for optimization and modernization.</span></li>
<li><span>Support FinOps practices and cloud cost optimization initiatives across infrastructure and AI platforms.</span></li>
</ul>
<p><strong><span>Shared Activity </span></strong></p><br>
<ul>
<li><span>Ensure effective cascading of the functional strategy into business plans to ensure vertical alignment and horizontal integration with other interfacing sectional strategies. </span></li>
<li><span>Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction. </span></li>
<li><span>Carry out any other duties and responsibilities related to the role at the request of the direct manager.</span></li>
<li><span>Manage and ensure effective implementation of functional policies, procedures and controls covering all areas of assigned section activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service. </span></li>
<li><span>Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li>
<li><span>Demonstrate compliance to organization’s values and ethics at all times to support the establishment of a value drive culture within the organization</span></li>
<li><span>Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.</span></li>
</ul>
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<p><strong><span>4</span></strong></p><br>
<p><strong><span>Communication and Business Relationships</span></strong></p><br>
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<p><strong><span>Internal</span></strong></p><br>
<ul>
<li><span>Technology Internal Sections</span></li>
<li><span>DCT Relevant Sectors / Departments </span></li>
</ul>
<p><strong><span>External</span></strong></p><br>
<ul>
<li><span>Key vendors & supplies</span></li>
<li><span>Government entities</span></li>
<li><span>Service Provider & Consulting firms </span></li>
</ul>
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</div>
Job Description<br><br>Wood is seeking an experienced PMC Lead Contract Engineer to support the delivery of the ADNOC Offshore Umm Shaif Gas Cap Phase 1 Onshore Project (Packages 2 & 3). The role will be responsible for leading all contract administration, commercial management, contractual compliance, change management and claims activities throughout the project lifecycle.<br><br>The successful candidate will provide contractual and commercial leadership to the PMC, ADNOC and EPC Contractor teams, ensuring the effective administration of project contracts and safeguarding the client's commercial interests. The role will act as the focal point for all contractual matters, supporting project management through proactive contract management, risk mitigation, claims assessment and dispute avoidance while ensuring compliance with ADNOC requirements, project procedures and industry best practices.<br><br>Responsibilities<br><br>Lead all contract administration and contract management activities for assigned project packages. Serve as the primary PMC focal point for contractual matters between ADNOC Offshore, PMC and EPC Contractors. Review and administer EPC, procurement, construction and service contracts throughout project execution. Ensure compliance with contractual obligations, project procedures and ADNOC contractual requirements. Provide contractual guidance and commercial support to the Project Management Team and project stakeholders. Interpret contract terms and conditions and provide recommendations on contractual rights, obligations and liabilities. Review, evaluate and manage contractor correspondence relating to contractual issues. Support the preparation, review and negotiation of contract amendments, variations and supplemental agreements. Evaluate contractor change requests and assess contractual and commercial impacts. Manage the Change Management process and ensure proper contractual documentation of approved changes. Review and assess Extension of Time (EOT) submissions and associated contractual entitlements. Evaluate contractor claims relating to delays, disruptions, acceleration, productivity losses and additional compensation. Prepare contractual assessments, recommendations and formal responses to contractor claims. Support project teams in resolving contractual disputes and minimizing commercial risks. Maintain comprehensive records of contractual communications, notices, claims and change documentation. Participate in commercial and contractual risk assessments throughout project execution. Identify potential contractual exposures and recommend mitigation strategies. Review contractor performance against contractual commitments and project milestones. Monitor compliance with key contractual deliverables, obligations and performance requirements. Coordinate with Project Controls, Planning, Cost Control and Engineering teams to support contractual assessments. Review and validate contractual aspects of project schedules, progress reports and commercial submissions. Support procurement and tendering activities, including bid clarification and contract award recommendations when required. Ensure timely issuance and management of contractual notices in accordance with contract requirements. Participate in progress meetings, commercial reviews and management review sessions. Prepare contractual reports, commercial summaries and management presentations. Interface with ADNOC Legal, Supply Chain, Commercial and Project Management teams on contractual matters. Support project close-out activities, final account negotiations and contract completion processes. Ensure compliance with company governance, ethics, audit and contractual control requirements. Promote best practices in contract administration, commercial management and dispute avoidance. Provide leadership, mentoring and technical guidance to contract administration personnel within the project team.<br><br>Qualifications<br><br>Bachelor's Degree in Engineering, Quantity Surveying, Construction Management, Law, Business Administration or a related discipline. Minimum 15 years of relevant experience in contract management and contract administration within the oil & gas industry. Significant experience supporting major onshore and offshore Greenfield developments. Extensive experience managing EPC, EPCM, PMC and major construction contracts. Strong knowledge of contract law, commercial management and contract administration principles. Proven experience evaluating contractor claims, variations and Extension of Time (EOT) submissions. Experience supporting large-scale oil & gas capital projects throughout execution and close-out phases. Strong understanding of change management, claims management and dispute resolution processes. Experience reviewing project schedules and project controls information for contractual assessments. Familiarity with international contract forms and contractual frameworks. Experience working with multidisciplinary project teams and multiple stakeholder environments. Previous experience working within a PMC/EPCM environment representing the Owner/Operator. Strong understanding of ADNOC contractual and commercial processes is highly desirable. Excellent negotiation, communication and stakeholder management skills.<br><br>About Us<br><br>Wood is a global leader in consulting, engineering and operations for the energy and materials sectors. With 33,000 people in around 50 countries, Wood supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future. Wood forms the Energy & Materials pillar of Sidara - a global partnership uniting leading multidisciplinary engineering, design, and project management companies. www.woodgroup.com<br><br>Diversity Statement <br><br>We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
<p>The <strong>Senior Reinforcement Detailer (Precast Concrete)</strong> specializes in generating precise, buildable 3D models and 2D shop drawings for rebar cages, prestressed strands, and embedded mesh configurations within precast concrete elements. Working within a factory technical office, this role translates structural engineer calculations into error-free Bar Bending Schedules (BBS), automated CNC cutting/bending machine files (BVBS), and production assembly tickets. The Senior Detailer ensures rebar cage geometry fits perfectly inside molds alongside lifting anchors, MEP cast-in items, and structural connection hardware without congestion or cover violations.</p><p><strong>Key Responsibilities</strong></p><ul><li><p><strong>Rebar Modeling & Shop Drawing Generation</strong></p><ul><li><p>Model 3D reinforcement cages, prestressing strand layouts, mesh panels, shear links, and mechanical splices for complex precast elements (columns, beams, wall panels, hollow-core slabs, double tees, and stairs).</p></li><li><p>Produce production-ready piece tickets, section drawings, placement plans, and Bar Bending Schedules (BBS) in compliance with ACI 315, BS 8666, or Eurocode standards.</p></li><li><p>Extract machine-readable BVBS data files to drive automated steel cutting and bending machinery in the rebar yard.</p></li></ul></li><li><p><strong>Congestion & Spatial Clash Resolution</strong></p><ul><li><p>Analyze rebar cage layouts against embedded plates, lifting anchors, post-tensioning ducts, and MEP blockouts to eliminate spatial clashes prior to cage assembly.</p></li><li><p>Adjust bar arrangements and lap splice locations to satisfy concrete cover requirements and aggregate flow allowances around congested areas.</p></li><li><p>Coordinate with structural engineers to resolve constructability challenges and draft RFI solutions for complex connection node details.</p></li></ul></li><li><p><strong>Factory Floor & Steel Yard Support</strong></p><ul><li><p>Support rebar workshop supervisors and steel benders to clarify bending schedules, shape codes, and cage assembly sequences.</p></li><li><p>Conduct periodic shop floor inspections to verify assembled rebar cages against approved production drawings before mold placement and concrete pouring.</p></li><li><p>Propose value-engineering modifications to optimize steel yield, standard bar stock lengths, and prefabricated mesh usage to minimize scrap waste.</p></li></ul></li><li><p><strong>Quality Assurance & Mentoring</strong></p><ul><li><p>Perform quality checks on reinforcement drawings, shape codes, and BBS packages generated by junior detailers.</p></li><li><p>Maintain and update the factory library of dynamic rebar components, custom shape codes, and standard connection templates.</p></li></ul></li></ul><p><strong>Required Qualifications & Skills</strong></p><p><strong>Desired Candidate Profile</strong></p><p>Education: Diploma or Bachelor’s Degree in Civil Engineering, Structural Engineering, or Drafting Technology. </p><p>Experience: 6–10+ years of dedicated structural rebar detailing experience, with at least 4 years focused on precast/prestressed concrete elements. Software Proficiency Advanced expertise in Tekla Structures (Precast/Rebar detailing modules) or AutoCAD Structural Detailing / Revit. Proficiency with automated BBS generation tools. Codes & Standards Deep working knowledge of international rebar shape codes and detailing standards (BS 8666, ACI 315, Eurocode 2, PCI guidelines). </p><p>Technical Knowledge: Solid understanding of concrete cover rules, lap lengths, anchorage zones, prestressing strand patterns, rebar mesh integration, and CNC machine data formats (BVBS/DXF).</p>
<p>Develop and implement artificial intelligence solutions that support the company’s objectives.<br>Work with Machine Learning and Deep Learning tools and technologies.<br>Analyze data and build intelligent models to improve performance and support decision-making.<br>Automate processes using artificial intelligence technologies.<br>Stay up to date with the latest technologies and applications in the field of AI.</p>
Role: Computational Biology Expert (PhD) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a Computational Biology Expert (PhD) to work on a contract basis. The role involves developing and implementing computational models to analyze biological data. You will collaborate with cross-functional teams to solve complex problems in data-driven biology.<br>Key Responsibilities:• Design and develop computational frameworks to process large-scale biological datasets.• Apply machine learning techniques to model biological systems and predict outcomes.• Develop algorithms for genomic, proteomic, or other high-throughput biological data.• Interpret results and communicate findings to stakeholders in a clear, actionable manner.• Stay current with advancements in computational biology, bioinformatics, and related tools.<br>Required Skills & Qualifications:• PhD in Computational Biology, Bioinformatics, or related field with relevant research experience.• Proficiency in programming languages such as Python, R, or C++ for data analysis and modeling.• Experience with machine learning frameworks and libraries, including Tensor Flow or PyTorch.• Strong background in statistical analysis and experimental design for biological data.• Familiarity with tools like BLAST, Bowtie, or other bioinformatics software suites.• Ability to work independently in a remote setting while meeting project deadlines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the biotechnology research industry, contributing to advancements in drug discovery and personalized medicine. The position provides exposure to cutting-edge computational tools and datasets.<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: Computational Biology Expert (PhD) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a Computational Biology Expert (PhD) to work on a contract basis. The role involves developing and implementing computational models to analyze biological data. You will collaborate with cross-functional teams to solve complex problems in data-driven biology.<br>Key Responsibilities:• Design and develop computational frameworks to process large-scale biological datasets.• Apply machine learning techniques to model biological systems and predict outcomes.• Develop algorithms for genomic, proteomic, or other high-throughput biological data.• Interpret results and communicate findings to stakeholders in a clear, actionable manner.• Stay current with advancements in computational biology, bioinformatics, and related tools.<br>Required Skills & Qualifications:• PhD in Computational Biology, Bioinformatics, or related field with relevant research experience.• Proficiency in programming languages such as Python, R, or C++ for data analysis and modeling.• Experience with machine learning frameworks and libraries, including Tensor Flow or PyTorch.• Strong background in statistical analysis and experimental design for biological data.• Familiarity with tools like BLAST, Bowtie, or other bioinformatics software suites.• Ability to work independently in a remote setting while meeting project deadlines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the biotechnology research industry, contributing to advancements in drug discovery and personalized medicine. The position provides exposure to cutting-edge computational tools and datasets.<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!
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<span>AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long-term vision.<br> Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making.<br> Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation.<br> Collaborate with cross-functional teams to define project scope, requirements, and deliverables.<br> Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.<br> Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.<br> Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.<br> Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.<br> Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products Innovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization.<br> Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.<br> Use data-driven insights to propose improvements and optimizations to existing processes Data Privacy Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.<br> Implement data protection measures and maintain confidentiality of sensitive information.<br> Identify potential risks and challenges associated with AI projects and data science initiatives Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI Strong background in machine learning, statistical analysis, and data visualization</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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United Arab Emirates </div>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Card Fraud Model Development & Optimization Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives.
Model Hosting & Deployment Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.
MLOps & Automation Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.
Evaluation & Testing Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.
Collaboration & Stakeholder Management Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field.
Technical Skills Strong proficiency in SAS (including SAS SFD), Python, and SQL.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-
learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data.
Experience 7+ years in data science roles, with at least 3 years in card fraud
modeling. Proven track record of deploying models in production environments.
Soft Skills Strong analytical and problem-solving skills. Excellent communication
and stakeholder management abilities.
<strong>Preferred Qualifications</strong>
Experience in banking or payments industry.
Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and
deployment.
Knowledge of regulatory compliance in fraud risk management.</p><p></p></section>
Location: Abu Dhabi Duration: Yearly renewable contract<br>Job Description:We are looking for hands-on OCI Operations resources with strong experience managing and supporting enterprise production OCI environments. The resources should be capable of independently handling daily operations, incidents, troubleshooting, and approved changes, with escalation to the L3/SME team for complex issues when required. In nutshell, we are looking for skilled profiles focused on OCI and other Oracle Products.<br>The required profile should have the following experience:Minimum 8+ years of overall infrastructure/cloud experience, with at least 5 years of recent hands-on OCI production operations experience. Strong ability to understand and troubleshoot complex issues in Oracle Fusion and Oracle Paa S/Iaa S components. Extensive experience in managing Privilege and Access Control using Oracle Identity and Access Management (IAM). Strong experience in designing, deploying, and administering Oracle Cloud Infrastructure (OCI) services. Expertise in managing OCI Networking, including VCNs, DRG, Fast Connect, NSGs, Security Lists, Route Tables, and Firewalls. Experience in OCI Disaster Recovery, backup strategies, and business continuity planning. Experience in OCI Monitoring, Logging, Cloud Guard, Security Zones, and OCI security best practices. Knowledge of Terraform, OCI CLI, and shell scripting for infrastructure automation. Extensive experience in administering Oracle Linux and Windows Server virtual machines in on-premises and cloud environments. Expertise in virtual machine provisioning, patching, hardening, performance tuning, monitoring, and troubleshooting. Experience in administering and supporting Oracle Virtual Desktop Infrastructure (VDI) solutions. Expertise in Oracle Solaris and Oracle Linux operating system administration. Hands-on experience with Oracle Exadata administration, performance tuning, and troubleshooting. Strong administration skills for Oracle ZFS Storage Appliance. Experience with Oracle SPARC virtualization technologies (Oracle VM Server for SPARC/LDoms). Strong troubleshooting skills for Oracle and HPE server hardware. Experience in administering Pure Storage and SAN switch infrastructure. Experience in identifying Oracle Cloud scheduled maintenance activities, evaluating business impact, and coordinating maintenance windows with stakeholders. Strong experience in stakeholder communication, change management, maintenance planning, and post-maintenance validation for production systems. Strong analytical, troubleshooting, and problem-solving skills with the ability to resolve complex infrastructure, cloud, and platform issues efficiently
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<p>We are currently looking for dynamic, and self motivated Front Office professionals who want to move their careers forward.<br><br>As a Telephone Operator you are responsible to handle every phone call with importance to provide professional and customer focused response to our guests, ensuring their stay will become a memorable experience, whereby your role will include key responsibilities such as:<br><br>• Receive each guest call in a professional and friendly manner<br>• Maintain effective communication with all related department to ensure smooth service delivery<br>• Handle every query in a polite and courteous manner and exceed guest expectations<br>• Ensure guests are greeted by name upon calling as per the Rotana Standard<br>• Maintain an up to date knowledge of the hotel and local services<br>• Maintain an awareness of guest profile through the Opera guest profile system<br>• Complete management’s long distance call vouchers and record them on the traffic sheet<br>• Maintain the guest wake up call sheet and deliver calls accordingly on time and to the established standard<br>• Ensure the proper operation of the switchboard, resulting in fast and efficient transferring of internal and external calls<br>• Take messages for guests and management as per the required standard</p> </div>
<h2 class="h5">Job description</h2>
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Role Overview<p>The Ground Support Safety Operator will provide on-road safety support during autonomous vehicle testing and operations.</p><br><br><p>The role involves driving designated safety vehicles along assigned routes and supporting the protection of pedestrians, other road users and autonomous vehicles during operational activities.</p><br><br>Key Responsibilities<ul><li><p>Drive safety/support vehicles along designated operational routes.</p><br><br></li><li><p>Provide ground-level safety support during autonomous vehicle operations.</p><br><br></li><li><p>Monitor road conditions, pedestrians, surrounding vehicles and potential hazards.</p><br><br></li><li><p>Support hardware and software update testing activities.</p><br><br></li><li><p>Assist during autonomous vehicle road testing and routine road-running operations.</p><br><br></li><li><p>Support special experience sessions and VIP activities.</p><br><br></li><li><p>Provide ground support during operational and cloud-cabin testing.</p><br><br></li><li><p>Communicate potential hazards or operational issues to the relevant teams.</p><br><br></li><li><p>Respond appropriately to changing road and traffic conditions.</p><br><br></li><li><p>Maintain safe driving standards and comply with all operational procedures.</p><br><br></li></ul>Candidate Profile<ul><li><p>Valid UAE driving licence.</p><br><br></li><li><p>Strong driving record and knowledge of road safety practices.</p><br><br></li><li><p>Previous experience in professional driving, fleet operations, transportation, automotive testing or similar operations is preferred.</p><br><br></li><li><p>Strong situational awareness.</p><br><br></li><li><p>Good communication skills.</p><br><br></li><li><p>Ability to follow designated routes and operational instructions accurately.</p><br><br></li><li><p>Safety-focused, reliable and comfortable working in an operational road environment.</p><br><br></li></ul><br>
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<p>- Supervise and manage engineering and maintenance staff (including contractors), ensuring punctuality, quality job performance, and adherence to safety, fire, and hygiene policies.
- Oversee preventive and corrective maintenance programs, inspections, and reporting for equipment, villas, and common areas, ensuring timely completion to required standards.
- Monitor and control operation of utilities (heat, light, power), materials usage, and requisitions, while maintaining accurate records and cost efficiency.
- Support departmental leadership by motivating the team, assisting with training, ensuring professional appearance and workplace cleanliness, and performing additional duties as required</p><p>Position Title: Engineer Supervisor
Employment Type: Full Time
Salary: up to 4,000 AED depending on experience and qualifications plus shared accommodation (2 persons per studio), company-provided transportation
Benefits: duty meals (3 per day), uniforms, comprehensive medical insurance, and two annual flight tickets
Job Location: Abu Dhabi
About the Client:
A leading leisure operator in the UAE, managing championship courses, luxury clubhouses, and landscaped facilities.
Qualifications:
- Male, Open to Asian, Atleast 38 years old & below
- Diploma in Electrical or Mechanical Engineering
- Minimum of 3 years’ experience in a similar supervisory role with 2-3 as supervisor/senior.
- Computer literate with good knowledge of MS Office and maintenance systems</p>
<p>- Supervise and manage engineering and maintenance staff (including contractors), ensuring punctuality, quality job performance, and adherence to safety, fire, and hygiene policies.
- Oversee preventive and corrective maintenance programs, inspections, and reporting for equipment, villas, and common areas, ensuring timely completion to required standards.
- Monitor and control operation of utilities (heat, light, power), materials usage, and requisitions, while maintaining accurate records and cost efficiency.
- Support departmental leadership by motivating the team, assisting with training, ensuring professional appearance and workplace cleanliness, and performing additional duties as required</p><p>Position Title: Engineer Supervisor
Employment Type: Full Time
Salary: up to 4,000 AED inclusive depending on experience and qualifications plus shared accommodation (2 persons per studio), company-provided transportation
Benefits: duty meals (3 per day), uniforms, comprehensive medical insurance, and two annual flight tickets
Job Location: Abu Dhabi
About the Client:
A leading leisure operator in the UAE, managing championship courses, luxury clubhouses, and landscaped facilities.
Qualifications:
- Male, Open to Asian, atleast 38 years old & below
- Diploma in Electrical or Mechanical Engineering
- Minimum of 3 years’ experience in a similar supervisory role with 2-3 as supervisor/senior.
- Computer literate with good knowledge of MS Office and maintenance systems</p>
<h2 class="h5">Job description</h2>
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Company Description<br><p><strong>Archirodon, having earned its reputation as a reliable and respected international contractor for more than a half century in the Engineering, Procurement and Construction (EPC) market, continues to create value to its stakeholders by executing complex EPC projects worldwide, in recognition of its superior standards of performance.</strong></p><br><br>Job Description<br><p>We are constantly growing and are currently looking for Draftsman to join a top qualified and knowledgeable team of Engineers in our project in UAE </p><br><p>Would you like to be part of a dynamic EPC leader with global presence? We’d like to meet you.</p><br><p>Join our worldwide journey. Build on something that matters!</p><br><p><strong>What you will need to do:</strong></p><br><p>To prepare and maintain accurate 2D and 3D drawings for the ADNOC Project, support the engineering team with drafting requirements, and ensure all drawings are updated and compliant with project specifications.</p><br><ul><li>Prepare and develop 2D and 3D engineering drawings/models using AutoCAD and related drafting software.</li><li>Produce detailed structural models, construction, fabrication, and as-built drawings as per project requirements.</li><li>Coordinate with engineers and project teams to incorporate design changes and revisions.</li><li>Ensure all drawings comply with project specifications, standards, and client requirements.</li><li>Maintain proper documentation and drawing registers.</li></ul><p>Support the engineering team with drafting and design-related activities throughout the project</p><br><p><strong>What you will need to have:</strong></p><br><ul><li>Minimum 3–5 years of experience as an AutoCAD Operator/Draftsman.</li><li>Strong proficiency in AutoCAD 2D & 3D drafting including SP3D</li><li>Experience in oil & gas, marine, jetty, or infrastructure projects is preferred.</li><li>Experience in ADNOC is additional advantage</li><li>Good communication skills and ability to work in a team environment.</li><li>Minimum 5 years of experience as an AutoCAD Operator/Draftsman.</li><li>Strong problem-solving and analytical thinking</li><li>Attention to detail and quality-focused mindset</li><li>Effective communication and technical reporting</li><li>Team collaboration and cross-discipline coordination</li><li>Adaptability in fast-paced project environments</li></ul><p><strong>What is in it for you: </strong></p><br><p>Competitive salary and benefits are part of the offering, yet the real joy comes from being a member of smart and passionate teams, within an international leading EPC Group on a mission that matters. We create mega construction projects - literally around the globe - with meaningful impact on the local communities for the years to come. At Archirodon, you will find a proud, productive and human-centric culture, caring for and building on our people and their development!</p><br><p><em>Please note that you will be contacted only in case you are shortlisted for an interview. In the meantime, do not hesitate to stay in touch and keep monitoring our </em><em>open vacancies</em><em> and our </em><em>LinkedIn</em><em> page! Rest assured that your application will be treated with strict confidentiality and under all applicable data privacy regulations</em></p><br><br><br> </div>
<h2 class="h5">Job description</h2>
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Company Description<br><p><strong>Archirodon, having earned its reputation as a reliable and respected international contractor for more than a half century in the Engineering, Procurement and Construction (EPC) market, continues to create value to its stakeholders by executing complex EPC projects worldwide, in recognition of its superior standards of performance.</strong></p><br><br>Job Description<br><p>We are constantly growing and are currently looking for Draftsman to join a top qualified and knowledgeable team of Engineers in our project in UAE </p><br><p>Would you like to be part of a dynamic EPC leader with global presence? We’d like to meet you.</p><br><p>Join our worldwide journey. Build on something that matters!</p><br><p><strong>What you will need to do:</strong></p><br><p>To prepare and maintain accurate 2D and 3D drawings for the ADNOC Project, support the engineering team with drafting requirements, and ensure all drawings are updated and compliant with project specifications.</p><br><ul><li>Prepare and develop 2D and 3D engineering drawings/models using AutoCAD and related drafting software.</li><li>Produce detailed structural models, construction, fabrication, and as-built drawings as per project requirements.</li><li>Coordinate with engineers and project teams to incorporate design changes and revisions.</li><li>Ensure all drawings comply with project specifications, standards, and client requirements.</li><li>Maintain proper documentation and drawing registers.</li></ul><p>Support the engineering team with drafting and design-related activities throughout the project</p><br><p><strong>What you will need to have:</strong></p><br><ul><li>Minimum 3–5 years of experience as an AutoCAD Operator/Draftsman.</li><li>Strong proficiency in AutoCAD 2D & 3D drafting including SP3D</li><li>Experience in oil & gas, marine, jetty, or infrastructure projects is preferred.</li><li>Experience in ADNOC is additional advantage</li><li>Good communication skills and ability to work in a team environment.</li><li>Minimum 5 years of experience as an AutoCAD Operator/Draftsman.</li><li>Strong problem-solving and analytical thinking</li><li>Attention to detail and quality-focused mindset</li><li>Effective communication and technical reporting</li><li>Team collaboration and cross-discipline coordination</li><li>Adaptability in fast-paced project environments</li></ul><p><strong>What is in it for you: </strong></p><br><p>Competitive salary and benefits are part of the offering, yet the real joy comes from being a member of smart and passionate teams, within an international leading EPC Group on a mission that matters. We create mega construction projects - literally around the globe - with meaningful impact on the local communities for the years to come. At Archirodon, you will find a proud, productive and human-centric culture, caring for and building on our people and their development!</p><br><p><em>Please note that you will be contacted only in case you are shortlisted for an interview. In the meantime, do not hesitate to stay in touch and keep monitoring our </em><em>open vacancies</em><em> and our </em><em>LinkedIn</em><em> page! Rest assured that your application will be treated with strict confidentiality and under all applicable data privacy regulations</em></p><br><br><br> </div>
⚙️ We're Hiring: Equipment Engineering Manager Location: United Arab Emirates (Remote) Employment Type: Full-Time Experience Level: Mid-Level to Senior Work Arrangement: Fully Remote About UsWe are a globally focused organization committed to developing, deploying, and optimizing reliable, safe, efficient, and scalable industrial equipment and manufacturing technologies. Our teams collaborate across Manufacturing, Production, Engineering, Maintenance, Automation, Quality, Safety, Supply Chain, Procurement, Finance, Product Development, IT, and external equipment manufacturers to ensure production equipment delivers required performance throughout its lifecycle. The Role We are seeking an experienced Equipment Engineering Manager to lead the technical strategy, specification, selection, development, installation, commissioning, qualification, optimization, reliability, modernization, and lifecycle management of manufacturing and industrial equipment. The successful candidate will provide engineering leadership across production machinery, process equipment, tooling, automation interfaces, utilities-connected equipment, inspection systems, and supporting technical assets. The role will ensure equipment meets requirements for safety, quality, capacity, productivity, reliability, maintainability, flexibility, cost, and regulatory compliance. Key Responsibilities Equipment Engineering Strategy Develop and implement an equipment-engineering strategy aligned with manufacturing and business objectives. Establish standards for equipment design, selection, specification, installation, commissioning, operation, maintenance, and lifecycle management. Develop equipment-capability and modernization roadmaps. Identify equipment risks, capacity constraints, reliability gaps, and technology opportunities. Standardize equipment platforms and technical solutions where appropriate. Equipment Lifecycle Management Manage equipment throughout its lifecycle:Concept Specification Design Procurement Manufacturing Factory Acceptance Installation Commissioning Production Ramp-UpOperation Upgrade Maintenance Modernization Decommissioning Ensure lifecycle decisions consider total cost of ownership. Equipment Requirements Define detailed technical requirements for new and modified production equipment. Establish requirements for:Capacity Cycle Time Accuracy Quality Reliability Safety Maintainability Flexibility Automation Data Connectivity Energy Efficiency Documentation Equipment Specification Develop technical specifications, equipment standards, user requirements, and performance criteria. Ensure specifications are measurable and commercially enforceable. Review technical proposals against approved requirements. Equipment Selection Evaluate equipment manufacturers, OEMs, system integrators, and technical solutions. Conduct technical due diligence and supplier assessments. Compare performance, reliability, maintainability, flexibility, lifecycle cost, and technical risk. Equipment Design Review Review equipment designs throughout development. Assess:Mechanical Design Electrical Design Controls Automation Safety Maintainability Ergonomics Accessibility Production Performance Identify design risks before equipment fabrication. Design for Reliability Ensure equipment is designed for high availability and maintainability. Identify potential failure modes during design. Incorporate appropriate redundancy, diagnostics, accessibility, and condition monitoring. Design for Maintainability Ensure maintenance personnel can safely and efficiently access critical components. Minimize unnecessary maintenance complexity. Consider spare-parts availability and service requirements during equipment design. Equipment Automation Coordinate equipment automation requirements with automation and controls teams. Ensure appropriate integration of:PLCHMISCADARobotics Machine Vision Motion Control Sensors Drives Safety Systems Controls Engineering Review equipment-control architectures. Ensure control systems meet production, safety, reliability, data, and integration requirements. Establish standards for controls documentation and software backups. Robotics Integration Evaluate and integrate robotic equipment for:Assembly Welding Material Handling Machine Tending Palletizing Packaging Inspection Ensure robotic systems meet cycle-time, safety, reliability, and quality requirements. Machine Vision Lead equipment-engineering integration of machine-vision systems. Define requirements for:Inspection Identification Measurement Defect Detection Assembly Verification Ensure vision systems are appropriately validated and maintained. Production Equipment Manage engineering activities related to:CNC Machines Presses Welding Equipment Assembly Equipment Packaging Equipment Conveyors Industrial Furnaces Process Equipment Material-Handling Equipment Specialized Manufacturing Machinery Key Performance Indicators Performance may be measured through:Equipment availability Overall Equipment Effectiveness Equipment utilization Production throughput Equipment cycle time Equipment capacity Unplanned downtime Mean Time Between Failures Mean Time To Repair Equipment failure frequency Repeat-failure rate Equipment-related quality defects First-pass yield Equipment reliability Preventive-maintenance compliance Predictive-maintenance effectiveness Equipment commissioning performance Factory acceptance test performance Site acceptance test performance Production ramp-up performance Equipment project on-time delivery Equipment project budget performance CAPEX variance Equipment ROIPayback period Total cost of ownership Spare-parts availability Critical-spares stockout rate Obsolescence-risk reduction Equipment modernization progress Energy consumption per unit Equipment safety incidents Engineering-change success rate Equipment documentation completeness Software-backup compliance Vendor SLA performance Warranty-claim resolution time Equipment relocation performance Equipment lifecycle extension Maintenance cost reduction Downtime reduction Capacity improvement Productivity improvement Quality improvement Continuous-improvement savings Ideal Candidate The successful candidate should have experience in Equipment Engineering, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Automation Engineering, Reliability Engineering, or related fields. The candidate should demonstrate:Proven experience leading equipment-engineering functions within manufacturing, industrial, automotive, electronics, engineering, or other production environments. Strong understanding of industrial and manufacturing equipment, machinery, tooling, fixtures, automation, controls, and production processes. Extensive experience with equipment specification, technical evaluation, supplier selection, installation, commissioning, qualification, optimization, and lifecycle management. Strong knowledge of mechanical, electrical, pneumatic, hydraulic, instrumentation, controls, and automation systems. Experience with PLC, HMI, SCADA, robotics, machine vision, motion control, industrial networks, and equipment integration. Strong understanding of equipment reliability, maintainability, preventive maintenance, predictive maintenance, FMEA, RCA, and reliability engineering. Experience managing Factory Acceptance Testing, Site Acceptance Testing, commissioning, production ramp-up, and equipment handover. Experience with equipment CAPEX, business cases, ROI, lifecycle costing, and total cost of ownership. Strong knowledge of machine safety, risk assessment, functional safety, guarding, interlocks, and safe equipment operation. Experience managing OEMs, system integrators, equipment suppliers, contractors, and technical consultants. Experience with equipment modernization, obsolescence management, upgrades, replacement planning, and lifecycle strategy. Strong understanding of production capacity, cycle-time optimization, throughput improvement, equipment bottleneck analysis, and OEE. Experience supporting new-product introduction, industrialization, factory expansion, new production lines, or new-factory development. Experience with Industry 4.0, Industrial IoT, digital manufacturing, predictive analytics, AI, digital twins, or connected equipment is advantageous. Strong technical documentation, engineering-change-control, configuration-management, and equipment-governance capabilities. Experience leading engineering teams and developing technical competencies. Strong analytical, troubleshooting, project-management, commercial, and problem-solving capabilities. Knowledge of UAE and GCC industrial, manufacturing, safety, and regulatory environments is advantageous. Relevant degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Manufacturing Engineering, Industrial Engineering, Automation Engineering, or a related discipline. Professional certifications in engineering, reliability, automation, project management, Lean Six Sigma, safety, or asset management are advantageous. Strong written and verbal English communication skills; additional languages are advantageous. Excellent technical leadership, stakeholder-management, planning, analytical, and communication skills. Ability to translate production requirements into reliable, safe, maintainable, and commercially viable equipment solutions. Ability to balance technical performance, safety, quality, reliability, flexibility, lifecycle cost, and production requirements. Ability to manage complex equipment projects, technical risks, suppliers, budgets, and competing priorities. Ability to work independently in a fully remote and internationally distributed environment. Strong equipment-focused, engineering-led, reliability-oriented, safety-conscious, technically rigorous, manufacturing-driven, data-informed, commercially aware, innovative, practical, collaborative, and results-driven mindset.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>As the AI Engineer at the Bank within the Data Analytics & Artificial Intelligence division, you will design, develop, and deploy production-grade AI solutions using Microsoft Azure AI Services and Python. Your focus will be on advancing the bank's capabilities in Generative AI, Agentic AI, intelligent automation, knowledge search, and content summarization by building scalable, secure, reliable, and responsible AI systems that enhance operational efficiency, customer engagement, and decision intelligence across the Group.
The AI Engineer will work closely with Data Scientists, Platform Engineers, DevOps/MLOps Engineers, Business Analysts, and product teams to deliver end-to-end AI solutions. The role is critical for driving the organization's digital transformation agenda, empowering business users with advanced AI-powered tools, and improving operational efficiency through intelligent automation using GERNAS OS platform and Agent Development Kit (ADK).</p></li></ul><br><p>Role Overview: The position is a Level 1 technical support role focused on laptop configuration, delivery, and post-implementation support for applications like Outlook and Teams.
</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Experience & Skills: Candidates should have 1-2 years of experience, but a relevant certification and foundational knowledge of desktop/laptop troubleshooting are essential
Knowledge of Bloomberg and in-depth of audio-visual devices.
Setting up a meeting room from Scratch
TECHNICAL SKILLS:
minimum 3-4 yrs of working experience mandatory
Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
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