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About The Role<br><br>We are seeking a highly motivated Specialist Onboard Telemetry to join our Engineering team. This role is responsible for the design, development, integration, and execution of onboard telemetry systems supporting flight test activities for precision-guided munitions (PGMs) and advanced weapon systems. The successful candidate will play a critical role in telemetry preparation, flight test execution, data acquisition, signal conditioning, metadata configuration, and post-test analysis. In addition, this position will provide technical support in troubleshooting and debugging electronic subsystems that fail production testing.<br><br>This is an exciting opportunity for an experienced electronics and telemetry engineer to work on cutting-edge aerospace and defense technologies in a highly collaborative engineering environment.<br><br>Key Responsibilities<br><br>Design, develop, and maintain onboard telemetry packs (telpacks) for precision-guided munitions, ensuring compliance with customer and industry requirements. Establish and maintain telemetry design data packs, technical documentation, and configuration records. Design and implement analog signal conditioning circuits for telemetry instrumentation and data acquisition systems. Install, configure, and validate onboard telemetry equipment and instrumentation for flight test programs. Develop and execute acceptance, verification, and validation procedures for telemetry systems. Prepare, manage, and maintain telemetry metadata for PCM, Arcnet, and onboard weapon communication systems in accordance with Interface Control Documents (ICDs). Support flight test activities, including telemetry data reception, test configuration, and real-time monitoring. Perform data reduction, processing, and analysis using tools such as MATLAB and other engineering software. Generate post-flight test reports and provide technical recommendations based on telemetry data analysis. Collaborate with multidisciplinary engineering teams to integrate telemetry systems with weapon, seeker, servo, and other onboard subsystems. Investigate, troubleshoot, and resolve electronic subsystem and production test failures through root cause analysis and corrective actions. Ensure compliance with applicable military, commercial, safety, and engineering standards while supporting continuous improvement initiatives.<br><br>Requirements<br><br>Qualifications<br><br>Engineering Degree or Diploma in Electronic Engineering/Electrical Engineering/Mechatronics Engineering/Aerospace Engineering Or a closely related discipline<br><br>Experience<br><br>10-12 years of experience in telemetry & flight test experience within Defense or Space. (Drones , Weapons , satellites, rockets etc) Working knowledge of Telemetry PCM encoding , Arcnet communication protocols & Serial communication protocols. Signal conditioning circuit design , PCB design and layout , Electrical wiring and schematic interpretation , Telemetry and flight test instrumentation systems Proficiency in laboratory testing, troubleshooting, and electronic debugging. Familiarity with military and commercial standards related to flight test systems. Knowledge of seeker, servo, or related weapon-system subsystems will be advantageous. Experience with data acquisition, data reduction, and MATLAB-based analysis. Strong understanding of manufacturing and production support environments. Practical soldering and electronics assembly skills.<br><br>Why Choose EDGE?<br><br>Working at EDGE comes with a package that genuinely reflects how much we value our people. Salaries are highly competitive and tax-free and, depending on your role and seniority, benefits can include family visas, annual flight tickets, medical insurance for you and your dependants, and education allowances for your children.<br><br>But the real investment goes further than compensation. Through our own learning academy and digital learning platform, there are extensive opportunities to develop your skills and advance your career. Add to that the freedom to innovate, strong career guidance, and the chance to work alongside world-class talent from across the globe, and EDGE becomes a place where you can keep growing, keep learning, and keep turning bold ideas into something real.<br><br>Candidate Privacy & Equal Opportunity Statement <br><br>Any information you share as part of your EDGE candidate profile or job application will be handled in accordance with applicable data protection and privacy regulations.<br><br>EDGE is an equal opportunity employer committed to building a diverse, inclusive, and high-performing workforce. We believe every individual deserves to be treated with fairness, respect and dignity, and our employment decisions reflect that. We do not discriminate based on race, colour, nationality, ethnicity, religion, gender, marital status, age, disability, pregnancy or parental status, or any other characteristic protected by applicable law.<br><br>If you feel your skills, experience and potential are a strong match for a role, we encourage you to apply even if you don’t meet every requirement. We are genuinely interested in what you can bring to EDGE.<br><br>As a global organisation, effective collaboration across international teams is central to how we work, so English proficiency is required for all roles unless otherwise stated in the job posting.<br><br>Please note that EDGE does not accept unsolicited resumes from recruitment agencies. Any resumes in the absence of a formally executed agreement in place will be deemed the property of EDGE, and no placement fees or compensation will be payable in respect of such submissions.<br><br>#ALTARIQ
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p><strong><u>Future‑State Architecture & Platform Strategy</u></strong></p><p>· Define and evolve the future‑state architecture for the assigned domain, including architecture principles, standards, patterns, and reference architectures.</p><p>· Establish clear architectural mechanisms and positions that guide how technologies are selected, used, and evolved within the domain.</p><p>· Define strategic technology and platform direction, including modernization, consolidation, and managed exit of legacy technologies.</p><p>· Develop architecture position papers, option analyses, and target‑state roadmaps to support executive and governance decision‑making.</p><p>· Ensure architectural direction consistently addresses scalability, resilience, security, data protection, regulatory compliance, and operational sustainability.</p><p>· Contribute to enterprise‑level architecture initiatives and overall EA practice maturity uplift.</p><p><strong><u>AI Domain Architecture</u></strong></p><ul><li><p>Define and evolve the enterprise AI architecture foundations, including platforms, and reference architectures</p></li><li><p>Own standards and patterns for AI/ML, GenAI, MLOps, LLMOps, Agentic …</p></li><li><p>Maintain the AI technology catalog, including lifecycle positioning of AI capabilities</p></li><li><p>Define long‑term AI evolution roadmaps, balancing innovation with governance, trust, and operational sustainability</p></li></ul><p>· Drive adoption of approved AI architectures across application and platform teams</p><p><strong><u> </u></strong></p><p><strong><u>Software/Technology Catalog & Lifecycle Management</u></strong></p><p>· Own the domain software and technology catalog, in collaboration with Technology Owners.</p><p>· Define Invest / Hold / Disinvest lifecycle positioning with clear architectural rationale.</p><p>· Ensure lifecycle intent is reflected in:</p><p>o Architecture standards and patterns</p><p>o Architecture governance decisions</p><p>o Long‑term modernization and rationalization roadmaps</p><p>· Prevent uncontrolled technology sprawl and duplication.</p><p><strong><u>Architecture Strategy, Adoption & Governance</u></strong></p><p>· Define and enforce architecture guardrails to drive standardization, reuse, resilience, and security‑by‑design.</p><p>· Govern solution and platform designs through EA governance forums (e.g. EADA), focusing on alignment to standards, patterns, and approved catalog technologies.</p><p>· Drive early and consistent adoption of architecture guidance across Technology Owners and Application Teams.</p><p>· Manage non‑standard designs through alignment or formally governed exceptions.</p><p>· Continuously improve architecture standards and governance mechanisms based on business evolution, delivery feedback, and operational insights.</p><p><strong><u> </u></strong></p><p><strong><u>EA Capability Modernization & Thought Leadership</u></strong></p><p>· Act as a trusted domain authority and source of architectural thought leadership.</p><p>· Monitor industry trends and emerging technologies to inform pragmatic architectural evolution.</p><p>· Guide appropriate architectural style shifts while balancing innovation with regulatory and operational readiness.</p><p>· Identify and promote the use of automation and AI‑enabled approaches to simplify, scale, and industrialize EA mechanisms (standards management, governance, reviews, insights).</p><p><strong><u>Collaboration & Stakeholder Engagement</u></strong></p><p>· Work closely with Technology owners to align architecture direction, lifecycle intent and platform roadmaps.</p><p>· Engage with Application Team and Solution Architects to provide early guidance</p><p>· Collaborate with internal governance bodies (e.g., Cloud, Data, Security) to ensure coherence across domains.</p><p>· Engage with vendors and strategic partners to assess solutions and ensure alignment with enterprise and domain architecture direction</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Enterprise Architect: Minimum 5 years of hands-on experience as Enterprise Architect.</p><p>Technical Skills</p><p>•Enterprise Architecture Frameworks: Proficiency in frameworks such as TOGAF, to structure and govern the architecture process.</p><p>•Enterprise Architecture Tools: Demonstrated hands-on expertise in Orbus Infinity (mandatory), including configuration, Dashboards, Reports, data sheet preparation, data cleansing, and validation to enable structured data import across all architecture pillars, workflow management, Object customization.</p><p>•Architecture Design: Expertise in designing enterprise-wide solutions, including business, data, application, and technology architectures.</p><p>•Cloud Architecture: Knowledge of cloud computing principles and platforms (e.g., AWS, Azure, Oracle) for designing cloud-based solutions.</p><p>•Integration Technologies: Familiarity with integration patterns and technologies, such as API management, service-oriented architecture (SOA), and middleware solutions.</p><p>•Data Management: Understanding of data governance, data modeling, and database management to ensure effective data architecture.</p><p>•Security Architecture: Knowledge of enterprise security practices and frameworks (e.g., NIST, ISO 27001) to ensure the security of systems and data.</p><p>•Software Development Lifecycle (SDLC): Familiarity with Agile, Waterfall, and DevOps methodologies to align architectural decisions with development practices.</p><p>•Business Process Modelling: Skills in modelling business processes using tools like BPMN (Business Process Model and Notation) to optimize workflows.</p><p>Soft Skills</p><p>•Strategic Thinking: Ability to align IT strategies with business objectives and envision long-term enterprise goals.</p><p>•Leadership: Experience in leading cross-functional teams and influencing stakeholders at various levels of the organization.</p><p>•Communication: Strong verbal and written communication skills to articulate complex concepts to both technical and non-technical audiences.</p><p>•Problem-Solving: Critical thinking skills to analyze complex problems and develop strategic solutions.</p><p>Beneficial Certifications</p><p>•TOGAF 9 /10 Certified, Certified Information Systems Security Professional (CISSP), Certified Business Architect (CBA), ArchiMate Certification</p><p>Domain Knowledge</p><p>•Understanding of Higher Education industry, its processes and enterprise systems/solutions to align enterprise architecture with organizational goals.</p></li></ul><p></p></section>
Knowledge & Experience<br><br>4 years + in a similar role Advanced knowledge of design and deliver multi-channel campaigns Proficient to execute performance test and a⁄b tests Experience in financial industry will be an advantage<br><br>Requirements<br><br>Improve customer journeys: <br><br>Map and analyze end-to-end customer journey, identifying Touchpoints and interactions across various channels (e.g., website, email, social media, etc.).<br><br>Campaigns And Measurement<br><br>Design and deliver multi-channel campaigns and campaigns measurement.<br><br>Performance And A⁄b Testing<br><br>Design and execute performance test and a⁄b tests to ensure campaigns are optimized Improvements: Implement changes to optimize campaign performance through data-driven insights<br><br>Decision Intelligence<br><br>Use data-driven insights to make informed decisions, analyzing customer Behavior, preferences, and engagement patterns to improve decision-making.<br><br>CRM & Contact Rules<br><br>Support CRM strategy and establish rules for customer interactions,Ensuring consistent and personalized communication. These rules guide when, how, and through Which channels customers receive messages.<br><br>Data Selection<br><br>Build customer segments and audiences to target the right customers.<br><br>Collaboration<br><br>Work closely with marketing, product, and data teams to align strategies and enhance the overall customer experience.<br><br>Apply Now
Performance Manager – Auto Data???? UAE<br>Auto Data is looking for an experienced automotive professional to join our team as a Performance Manager. In this role, you will work closely with dealerships across the GCC, helping them improve aftersales performance, customer retention, operational efficiency, and overall business results through our Deal Revs platform.<br>Key Requirements<br>7+ years of automotive experience Current or previous experience as a Service Manager, Dealer Development Manager, or a high-performing Service Advisor who has progressed through the dealership ladder Strong understanding of dealership operations and KPIsExperience working directly with customers and dealership leadership teams Strong communication and relationship-building skills Willingness to travel across the GCC<br>Why Join Us?<br>This is an opportunity to move beyond day-to-day dealership operations and work with leading automotive groups across the region, helping them drive performance and achieve measurable results. If you're passionate about the automotive industry and enjoy solving business challenges, we'd love to hear from you.<br>To apply, please forward your CV to careers@autodata.ae
Performance Manager – Auto Data???? UAE<br>Auto Data is looking for an experienced automotive professional to join our team as a Performance Manager. In this role, you will work closely with dealerships across the GCC, helping them improve aftersales performance, customer retention, operational efficiency, and overall business results through our Deal Revs platform.<br>Key Requirements<br>7+ years of automotive experience Current or previous experience as a Service Manager, Dealer Development Manager, or a high-performing Service Advisor who has progressed through the dealership ladder Strong understanding of dealership operations and KPIsExperience working directly with customers and dealership leadership teams Strong communication and relationship-building skills Willingness to travel across the GCC<br>Why Join Us?<br>This is an opportunity to move beyond day-to-day dealership operations and work with leading automotive groups across the region, helping them drive performance and achieve measurable results. If you're passionate about the automotive industry and enjoy solving business challenges, we'd love to hear from you.<br>To apply, please forward your CV to careers@autodata.ae
Performance Manager – Auto Data???? UAE<br>Auto Data is looking for an experienced automotive professional to join our team as a Performance Manager. In this role, you will work closely with dealerships across the GCC, helping them improve aftersales performance, customer retention, operational efficiency, and overall business results through our Deal Revs platform.<br>Key Requirements<br>7+ years of automotive experience Current or previous experience as a Service Manager, Dealer Development Manager, or a high-performing Service Advisor who has progressed through the dealership ladder Strong understanding of dealership operations and KPIsExperience working directly with customers and dealership leadership teams Strong communication and relationship-building skills Willingness to travel across the GCC<br>Why Join Us?<br>This is an opportunity to move beyond day-to-day dealership operations and work with leading automotive groups across the region, helping them drive performance and achieve measurable results. If you're passionate about the automotive industry and enjoy solving business challenges, we'd love to hear from you.<br>To apply, please forward your CV to careers@autodata.ae
Role Description The Product Strategy Analyst is a part-time role based in Dubai with a hybrid work arrangement, combining on-site presence with some work-from-home flexibility. The role involves analyzing product performance, customer behavior, and market trends to support the development and refinement of foreign exchange products and services. Day-to-day tasks include preparing data-driven reports, contributing to pricing and product positioning strategies, and collaborating with finance and operations teams to evaluate profitability and risk. The analyst will support strategic planning initiatives, assist in building business cases for new offerings, and help identify opportunities to improve operational efficiency and customer experience. This role also includes preparing clear communications and presentations for stakeholders, ensuring that insights and recommendations are well-documented and actionable. Qualifications Strong analytical skills and data analytics capabilities to interpret complex datasets and generate meaningful insights. Solid understanding of finance, preferably with exposure to foreign exchange, retail banking, or financial services. Demonstrated communication skills, including the ability to present findings clearly to technical and non-technical stakeholders. Experience with strategic planning, including market analysis, competitive assessment, and product roadmap support. Proficiency in spreadsheet and data visualization tools (e.g., Excel, Power BI, or similar) and comfort working with quantitative information. Bachelor’s degree in Business, Finance, Economics, Data Analytics, or a related field; relevant professional certifications are an advantage. Ability to work effectively in a multicultural environment, manage multiple priorities, and operate with high attention to detail. Experience in a retail, travel, or financial services setting, and familiarity with regulatory and compliance considerations, is beneficial.
Role: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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!
Job Description: Project Manager <br><br>Location: Abu Dhabi<br><br>Experience Required: 8–10 Years<br><br>Languages: English and Chinese (mandatory)<br><br>About The Role<br><br>We are seeking a Project Manager with deep experience in digital transformation projects, especially in AI, cloud, smart city and data-related initiatives. The role requires strong vendor and partner management skills, ensuring seamless collaboration between multiple stakeholders, service providers, and customers.<br><br>This position is ideal for a detail-oriented leader who can manage complex projects across technical, business, and vendor ecosystems, ensuring delivery excellence.<br><br>Key Responsibilities<br><br>Lead the planning, execution, and delivery of transformation projects. Manage vendor and partners: Partner evaluations, oversee contracts, monitor SLAs, and ensure alignment with project objectives. Act as the key interface between business stakeholders, technical teams, and external partners. Develop and maintain project governance frameworks, reporting structures, and escalation paths. Drive adoption of AI, cloud services, data governance, and analytics solutions. Identify and mitigate project risks, ensuring compliance with local regulations and global standards. Facilitate workshops, requirements gathering, and sign-off checkpoints with stakeholders. Ensure delivery on time, within budget, and to quality standards. <br><br>Qualifications & Requirements <br><br>8+ years of project management experience Experience of managing projects in government/private industry. Strong track record of vendor/partner management and managing third-party service providers. Experience in AI, Data, Robotics, Cloud, and Data transformation projects. Hands-on experience with IT project delivery methodologies (Agile, Waterfall, Hybrid). PMP, PRINCE2, Scrum or equivalent certification (preferred). Excellent stakeholder engagement, negotiation, and communication skills. Languages:English – fluent (mandatory) Chinese (Mandarin) – (mandatory) <br>Senior Project Manager in Abu Dhabi, United Arab Emirates
Senior Platform Engineer | Global Cloud Computing & Infrastructure Provider | Abu Dhabi, UAE<br>Are you ready to architect the future of enterprise cloud platforms?<br>About the company Our client is a premier enterprise technology and cloud infrastructure provider driving next-generation cloud platforms and automated data services.<br>The Opportunity We are seeking an experienced Senior Cloud Platform Engineer to lead the technical implementation and evolution of a massive, customer-facing cloud platform. In this role, you will be the engineering brains behind delivering Kubernetes as a Service and Managed Data Services at a huge scale.<br>What You Will Do:Design, engineer, and implement Kubernetes as a Service and Managed Data Platform services for global enterprise customers. Architect managed Postgre SQL, MySQL, Kafka, and Redis services using production-grade operators (e.g., Cloud Native PG, Crunchy Data, Zalando, Percona, Strimzi). Own the day-to-day reliability, backup architectures (pg Back Rest, Sentinel), disaster recovery, scaling, and connection pooling protocols. Implement multi-tenant operational security including m TLS, automated credential rotation, IAM integration, secure parameter baselines, and image vulnerability management.<br>What We Are Looking For:Proven experience in Platform Engineering, Cloud Engineering, or Dev Ops/SRE roles supporting large-scale cloud services. Expert-level hands-on experience with Kubernetes/Open Shift and underlying cloud infrastructure frameworks (such as Open Stack). Solid foundation in Linux internals, networking, DNS, PKI, load balancing, and storage integrations (Cinder, Manila, S3-compatible).<br>Bonus if you have these skills:Git Ops / Automation: Terraform, Ansible, Argo CD, Flux, or Crossplane. Observability: Prometheus, Grafana, Alertmanager, Loki, or Open Telemetry.<br>If you fit the bill, we'd love to hear from you!
Role: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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!
Job Title – Oracle APEX / Integration Consultant Company – TCS (MEA) Location – Dubai, United Arab Emirates Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Technical Skills needed<br>Core APEX Skills Strong SQL & PL/SQL expertise APEX components: Forms, Interactive Reports, Workflows APEX REST integration capabilities Performance tuning and debugging<br>???? Integration Skills (Critical) Oracle Integration Cloud (OIC) REST & SOAP web services API design, development, and consumption Data transformation, mapping, and orchestration Understanding of integration patterns (real-time, batch, event-driven)???? Database & Backend Oracle Database architecture PL/SQL programming and optimization Data modelling and data validation<br>???? Oracle Cloud & Fusion Exposure to Oracle Fusion ERP APIs and data structures Experience in:FBDI / BICC / OTBIFusion REST services Knowledge of Saa S extension approaches<br>???? Supporting Technical Skills JSON / XML handling Security (OAuth, token-based authentication) Basic Java Script (for APEX enhancements)<br>Application Deadline: 10-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
Role: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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: Video Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $65 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Video Annotation Expert to work on a contract basis. The role involves annotating video content to improve machine learning models for computer vision applications. You will work closely with AI teams to ensure high-quality labeled data for training and evaluation.<br>Key Responsibilities:• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.• Verify and validate annotated data to meet project-specific requirements and performance metrics.• Document annotation processes and report inconsistencies or challenges encountered during labeling.<br>Required Skills & Qualifications:• Experience in video annotation or image labeling for computer vision projects.• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.• Attention to detail with the ability to follow complex annotation guidelines accurately.• Familiarity with machine learning concepts and data labeling best practices.• Strong time management skills to meet project deadlines and deliver high-quality outputs.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI models. The project involves annotating video datasets to enhance real-world applications such as autonomous systems and surveillance technologies.<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!
Experience: 5-6 years | Location: Dhahran/Khobar, KSA — onsite only | Duration: 3 months (extension possible) | Availability: Immediate<br><br>Role Overview<br><br>Deliver the reporting and visualization layer of the MRO Inventory Optimization platform — building performant, governed Power BI models and dashboards for operational users and executives, sourced from Big Query and the project's data services.<br><br>Must-Have — technical depth expected<br><br>Power BI: End-to-end report development, visual selection and design, drill-through, bookmarks, tooltips, performance tuning (reducing visual/query load) DAX: Measures vs calculated columns, CALCULATE and filter context, time-intelligence functions, iterators (SUMX/AVERAGEX), variables, debugging context transition Power Query (M): Data shaping, merges/appends, parameterization, query folding awareness, handling incremental refresh sources Data modeling: Star schema design, fact/dimension modeling, relationship cardinality and filter direction, avoiding many-to-many pitfalls, optimizing model size (column cardinality, aggregations) SQL / Big Query: Writing and tuning source queries, Direct Query vs Import trade-offs, working with partitioned warehouse tables Row-Level Security (RLS): Static and dynamic RLS, role definitions, USERPRINCIPALNAME-based filtering, testing security roles<br><br>Good-to-Have<br><br>Paginated reports (Report Builder), Power BI Service administration (workspaces, gateways, refresh schedules, deployment pipelines), data governance (sensitivity labels, lineage, certified datasets), Python/R visuals or scripting, Azure Dev Ops for version control and deployment.<br><br>Scope of Work<br><br>Build KPI dashboards for inventory metrics (stock levels, turnover, carrying cost, stockout risk, slow-moving/obsolete inventory) Develop inventory analytics views with drill-down by plant, material group, and criticality Create executive dashboards with high-level summaries and trend analysis Design the underlying semantic model, implement RLS for multi-plant/role access, and optimize refresh performance
The Manager-Substation is responsible for leading the end-to-end design, execution, commissioning, and handover of high-voltage substation infrastructure (132/33 k V, 132/11 k V and related systems) supporting mission-critical developments such as data centers and large-scale infrastructure projects.<br>The role ensures safe, timely, and high-quality delivery of power infrastructure in compliance with utility authority regulations (DEWA/SEWA/ADDC and international equivalents), project specifications, and Tier standards (Uptime Institute or equivalent). The position plays a key leadership role in coordinating consultants, contractors, utility providers, and internal stakeholders to achieve seamless grid integration and operational reliability.<br>Functional Responsibilities:Lead planning, design review, execution, and delivery of high-voltage substation projects (132/33/11 k V) for mission-critical and large infrastructure developments.<br>Oversee full project lifecycle including engineering design (SLD, layouts, protection schemes), procurement coordination, construction, testing, commissioning, and handover.<br>Manage coordination with utilities (DEWA/SEWA/ADDC and international counterparts), ensuring compliance with regulatory, technical, and safety requirements.<br>Ensure adherence to N-1 redundancy, Tier III/IV standards (where applicable), and data center power reliability requirements.<br>Direct interface with internal stakeholders including MEP, infrastructure, and data center operations teams for integrated delivery.<br>Approve/review technical submittals, IFC/as-built drawings, ITPs, method statements, and commissioning procedures.<br>Lead authority approvals process, energization activities, and grid interconnection coordination.<br>Manage contractor performance, progress tracking, cost control, and schedule adherence.<br>Identify technical risks, delays, and design conflicts; implement mitigation strategies.<br>Oversee testing and commissioning activities including primary/secondary injection tests, relay coordination, transformer energization, and grid synchronization.<br>Ensure robust HSE compliance and QA/QC standards across all site activities.<br>Drive project reporting, documentation, and stakeholder communication through EDMS and project control systems.
Experience<br><br> 8+ years of experience in Oracle Fusion HCM as a Techno-Functional Consultant. Proven track record of successful Oracle HCM implementations and support.<br><br>Key Responsibilities<br><br>Work with business stakeholders to understand their HR and payroll processes and gather requirements. Translate business requirements into functional specifications for Oracle Fusion HCM modules. Configure Oracle Fusion HCM modules based on business needs (Core HR, Recruitment , Talent and other modules ) Ensure compliance with organizational policies, statutory regulations, and industry standards. Develop custom reports, dashboards, and workflows using OTBI, BI Publisher, and Fast Formulas. Perform technical integrations using REST/SOAP APIs, HCM Extracts, and HDL/FDI. Manage data migrations and validations during implementations or upgrades. Perform unit, system, and user acceptance testing to validate configurations and developments. Troubleshoot technical and functional issues, identifying root causes and delivering effective solutions. Provide post-implementation support and resolve incidents as per SLA. Deliver user training and documentation for HCM functionalities and enhancements. Collaborate with HR and IT teams to identify opportunities for system improvements. Stay updated on Oracle Fusion HCM updates, patches, and new features.<br><br>Technical Skills<br><br>Expertise in HCM tools like BI Publisher, OTBI, HCM Extracts, and Fast Formulas. Should have expertise in Oracle HCM Cloud tools such as HDL, HSDL, Application Security, Workflows, Alerts and Notifications, Page Customizations & Extensions. Should have expertise in Data migration from Legacy system to cloud HCM, should be able to individually able to prepare data sheet and perform data loading. Experience with Oracle Cloud Integration tools and APIs (REST/SOAP). Apex and ATPDevelop Integrations between Fusion HCM and other platforms using OIC. Develop Saa S extensions using VBCS. Knowledge of SQL, PL/SQL, and debugging tools.