Data Entry Jobs in UAE

The ESG Coordinator will support the implementation and coordination of the Group's Environmental, Social and Governance (ESG) reporting requirements across all restaurant operations. As the business operates under Accor and Ennismore, the role will ensure the accurate collection, consolidation and reporting of ESG data in line with Group sustainability standards and French CAC 40 reporting expectations. The ESG Coordinator will act as the central point of contact between restaurant teams, corporate departments, external ESG consultants and the Paris Head Office to ensure timely and accurate reporting.<br>Key Responsibilities ESG Reporting & Data Collection Maintain the annual ESG reporting calendar. Track reporting milestones and follow up with stakeholders to ensure timely completion of deliverables. Coordinate the collection of ESG data across all restaurants and corporate departments. Consolidate and validate environmental, social and governance data for reporting purposes. Maintain ESG reporting templates, trackers and supporting documentation. Ensure data accuracy, consistency and completeness before submission. Prepare reports and dashboards to support internal and external ESG reporting requirements. Stakeholder Coordination Act as the main point of contact for ESG reporting across restaurant operations. Liaise with General Managers and department heads to collect required information within agreed deadlines. Coordinate with Finance, Human Resources, Procurement, Operations and Engineering teams to gather relevant ESG data. Work closely with external ESG consultants to facilitate reporting activities and respond to information requests. Collaborate with the Paris ESG and Sustainability teams to ensure alignment with Accor and Ennismore reporting requirements. Compliance & Governance Support compliance with Accor, Ennismore and French ESG reporting requirements. Maintain accurate records and supporting documentation for audit purposes. Develop simple guidance documents and reporting tools for operational teams. Assist in implementing new ESG reporting processes and continuous improvements. Support the implementation of sustainability initiatives when required.<br>Qualifications Bachelor's degree in Sustainability, Environmental Science, Business Administration, Finance, Engineering or a related field. Additional certification in Sustainability or ESG is an advantage.<br>Experience2–5 years of experience in ESG reporting, sustainability, compliance, finance, audit or project coordination. Experience working with large volumes of data and reporting. Experience in hospitality, retail or multi-site operations is highly desirable. Exposure to ESG reporting frameworks, CSRD or corporate sustainability reporting is an advantage.<br>Skills & Competencies Excellent organisational and project coordination skills. Strong analytical skills and attention to detail. Advanced Microsoft Excel skills; knowledge of reporting tools is an advantage. Ability to manage multiple deadlines simultaneously. Strong communication and stakeholder management skills. Ability to work independently while coordinating with multiple departments. Fluent in English; French is an advantage.

Job Purpose<br><br>Responsible for interpreting Flight Data Monitoring (FDM) and operational safety data to identify hazards, assess operational risks, and support proactive safety management across the Air Arabia Group. Provides operational expertise for safety investigations, risk assessments, crew engagement, and safety promotion activities, ensuring effective risk mitigation and continuous enhancement of flight safety and operational performance.<br><br>Key Result Responsibilities<br><br>Serve as the Flight Operations interpreter within the Air Arabia Group Flight Data Monitoring (FDM) Program by providing accurate operational interpretation of FDM exceedances, trends, SOP application, aircraft handling characteristics, and operational context. Conduct proactive monitoring and analysis of FDM and other safety data to identify operational trends, recurring exceedances, emerging threats, operational hazards, and associated safety risks. Perform operational risk assessments, evaluate the effectiveness of existing risk controls and mitigation measures, monitor implemented safety actions, and recommend additional mitigations where required. Carry out timely review, assessment, follow-up, and closure of safety reports submitted by flight crew in accordance with proactive safety management principles and Just Culture requirements, determining their operational significance and safety implications. <br><br>Key Result Responsibilities - Continued<br><br>Develop safety recommendations to address identified risks and prevent recurrence of safety events. Lead and participate in crew engagement activities and crew debriefing sessions to gather operational insights, reinforce safety culture, and close the feedback loop on safety findings. Actively participate in Air Arabia safety promotion activities, including drafting safety publications and planning Safety Walk & Talk sessions. Support Safety Risk Assessments (SRA) and Management of Change (MOC) activities by identifying operational hazards and emerging risks.<br><br>Qualifications (Academic, Training, Languages)<br><br>Commercial airline pilot with extensive knowledge of Standard Operating Procedures (SOPs), operational procedures, Airbus aircraft systems, aircraft handling characteristics, and flight operations. Good Knowledge of ICAO Annex 19 Safety Management principles. Strong understanding of GCAA CAR SMS and CAR AIR OPS requirements. Good knowledge of Flight Data Monitoring (FDM/FOQA) principles. Understanding of Human Factors and Threat & Error Management. Knowledge of operational risk assessment methodologies. Excellent operational judgement. Strong analytical and problem-solving skills. Ability to conduct crew interviews and operational debriefings. Strong attention to detail and accuracy and report writing Ability to analyze large volumes of operational safety data. Strong stakeholder engagement and interpersonal skills. High level of integrity, professionalism and confidentiality. Proactive safety mindset aligned with Just Culture principles. Fluent in English and any other languages required.<br><br>Work Experience<br><br>With a minimum of 5+ years of commercial airline flight operations experience. Strong familiarity with the route network, aerodromes, and operating environment. Previous experience as a Training Captain, TRI/TRE, or in-Flight Safety, Flight Data Monitoring (FDM), Flight Operations Quality Assurance (FOQA), or related aviation safety functions is an advantage.

Job Description<br><br>Responsible for the delivery of data‑driven insights that enable strategic and operational decision‑making. This role oversees analytics projects end‑to‑end, partners closely with business leaders, and manages a team of analysts. Works closely together with the Product Owner Cargo Data to productionize data and insights. You will be responsible for revenue budgeting and forecasting.<br><br>As Product Owner of IATA Cargo i Q and related quality standards: defining, prioritizing and evaluating the work related to the IATA Cargo i Q quality standard, the Delivered-As-Promised (DAP) performance indicator and customer and service specific standards.<br><br>Accountabilities<br><br>Delivery of analytics insights aligned with business needs. Identify high‑value opportunities where data and insights can drive business impact. Produce the revenue budget and related materials at agreed intervals Produce the revenue forecast and related materials at agreed intervals Identify opportunities to productionize data and insights Accountable to maintain Etihad Cargo’s IATA Cargo i Q certification at all times, lead re-certifications and address any findings and observations to maintain compliance. Responsible for managing all cargo offsets, ensuring offsets are up-to-date and accurate at all times. This includes but is not limited to Cargo i Q offsets under CDMP, customer and service provider specific offsets under respective Service Level Agreements. Accountable for continuously improve data integrity of operational data and active engagement with internal and external stakeholders, creating awareness, transferring knowledge across cargo departments and further improve operational performance. Communicate effectively with all stakeholders, internally and externally. <br><br>Qualifications<br><br>Minimum 5 years relevant experience in airline or logistics, with at least 2 of these years in a supervisory/management capacity. Bachelor’s degree in Business Admin, Aviation, Information Systems, Engineering or equivalent is preferable Familiarity with predictive modelling, forecasting, and optimization techniques Excellent communication, organizational and time management skills<br><br>Additional Information<br><br>Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.<br><br>To learn more visit www.etihad.com<br><br>Recruitment Fraud Alert<br><br>Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Role Overview:<br>This is a critical “make-or-break” role responsible for connecting all factory machines—modern and legacy—to a centralized monitoring system. The engineer will determine, design, and implement the best method to extract machine data, whether through existing industrial protocols or custom-built sensor retrofits. The role combines industrial automation, IoT, embedded systems, and edge computing to enable real-time monitoring, analytics, and predictive maintenance across the plant.<br> Key Responsibilities<br>Machine Connectivity & Integration<br>* Audit all active machines to assess data availability and optimal connectivity approach.* Integrate modern machines using industrial communication protocols such as OPC-UA, Modbus, Profinet, APIs, and JDF/CIP4 (Heidelberg).* Design and implement connectivity solutions for both automated and manual machines.<br>Legacy Machine Retrofit Solutions<br>* Design sensor-based retrofits for machines without controllers or data ports.* Implement production counters, current/power sensors, vibration sensors, and optical/proximity sensors to capture:<br> * Machine run status * Production count * Basic machine health metrics<br>Embedded Systems & Hardware Development<br>* Design and develop embedded systems using ESP32, STM32, Raspberry Pi, or industrial MCUs.* Develop firmware (C/C++ / Micro Python) for sensor data acquisition and communication.* Design PCBs (basic level) and rugged enclosures suitable for industrial environments.* Ensure safe power design, isolation, and industrial-grade reliability.<br>IoT & Edge Computing<br>* Set up edge gateways for machine data collection.* Implement MQTT-based data pipelines from machines to cloud/platform.* Integrate REST APIs and other IoT communication protocols.* Work with platforms for real-time monitoring, data logging, and analytics.<br>Automation & Control Systems<br>* Program, troubleshoot, and integrate PLCs (Siemens, Allen-Bradley, Schneider, Delta).* Work with SCADA systems and industrial control networks.* Integrate sensors, actuators, and industrial devices into automation workflows.<br> Required Skills & Qualifications<br>* 2–3 years experience in IoT, embedded systems, or industrial automation.* Strong knowledge of PLCs and industrial protocols (Modbus, OPC-UA, Profinet).* Hands-on experience with sensors and instrumentation.* Experience with microcontrollers (ESP32, STM32) and embedded systems.* Experience with MQTT, REST APIs, and edge computing.* Understanding of networking fundamentals (Wi-Fi, Ethernet).* Ability to read electrical schematics and troubleshoot industrial systems.* Strong analytical and problem-solving skills.* Bachelor’s degree in Electronics, Electrical, Mechatronics, or related field.<br>Preferred (Nice to Have)<br>* Experience in printing/packaging machinery (Heidelberg, Prinect, CIP4/JDF).* Experience in OEE or machine monitoring systems.* Knowledge of RS485/Modbus and power monitoring systems.* Experience deploying large numbers of IoT devices in industrial environments.* Familiarity with Node-RED or Python-based IoT workflows.* Exposure to AI-based CCTV or video analytics systems.* Experience with ruggedized industrial hardware design.

Location<br><br>Los Angeles, CA; Austin, TX<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>On-site<br><br>Department<br><br>Manufacturing<br><br>Compensation<br><br>$150K – $220K<br><br>Overview Application<br><br>Hadrian - Manufacturing the Future<br><br>Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.<br><br>We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.<br><br>Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.<br><br>The Role:<br><br>Hadrian is seeking a Head of Qualification to own and scale how parts get qualified for production across our defense programs. This is the leader who turns incomplete, legacy technical data into production-ready manufacturing data and source-approved parts, at speed and at scale.<br><br>Qualification is its own discipline at Hadrian: the end-to-end pipeline that takes a part from intake through technical data evaluation, gap resolution, qualification data package assembly, first article verification, and part qualification to source approval. The Director of Qualification owns that pipeline — the process, the tooling that runs it, the team of Product Qualification Managers (PQMs) and engineers who do the substantive technical work, and the customer-facing relationships that move parts through approval.<br><br>This person will define what qualification means at Hadrian, hold a clear line on what is and isn't in scope, and build a function that gives our customers full visibility into where every part is and what's blocking it, while keeping qualification throughput and confidence in the data extremely high.<br><br>What You'll Do<br><br>Own Hadrian's end-to-end qualification function — from part intake through technical data evaluation, gap resolution, qualification data package assembly, first article verification, and source approval — in alignment with customer requirements Define and maintain qualification scope, and own the qualification pipeline and its workflow automation Lead the technical core: direct Product Qualification Managers (PQMs) and Manufacturing/Quality Engineers performing technical data evaluation and qualification data package generation, producing production-ready design data sets and TDPsOwn qualification performance and reporting — tracking metrics such as time-to-qualification, parts in pipeline, parts qualified, and parts overseen per PQM — and serve as Hadrian's qualification interface to the customer, running part prioritization jointly Partner closely with reverse engineering, manufacturing engineering, and quality to ensure qualification outputs translate into producible, source-approved parts, while hiring, developing, and scaling a high-performing qualification organization<br><br>What We're Looking For<br><br>Bachelor's degree in Mechanical or Manufacturing Engineering or a related technical field, and 8+ years of experience in qualification, quality, manufacturing engineering, or related leadership roles Detailed knowledge of part/product qualification, first article verification, technical data packages (TDPs), and source approval; aviation component qualification is a plus Demonstrated ability to interpret and apply complex regulatory and customer requirements based on intent and risk, and to translate them into clear, practical workflows Demonstrated ability to build, scale, or significantly improve systems, processes, or organizations in complex, ambiguous environments, including leading and developing high-performing teams Strong decision-making in ambiguous, high-risk, customer-facing situations, with excellent communication and cross-functional leadership across engineering, operations, and government customers<br><br>What Will Set You Apart<br><br>Direct experience with DoW qualification, airworthiness, or source approval processes Hands-on experience with technical data package development, reverse engineering, and proprietary data/data rights issues Experience standing up qualification pipelines, workflow automation, or supporting tools Strong track record of balancing compliance requirements with practical, scalable implementation Experience in high-growth or startup manufacturing environments<br><br>Compensation<br><br>For this role, the target salary range is $150,000-220,000 (actual range may vary based on experience).<br><br>This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.<br><br>Benefits For Full-time Employees<br><br>Medical, dental, vision, and life insurance plans for employees401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity<br><br>ITAR Requirements<br><br>To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U. S., protected individual as defined by 8 U. S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here.<br><br>Hadrian Is An Equal Opportunity Employer<br><br>It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.<br><br>Compensation Range: $150K - $220K<br><br>Powered by Ashby<br><br>Privacy Policy Security Vulnerability Disclosure

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking.<br> Our team combines deep expertise in data science, statistical modelling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.<br> DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> The AI Cybersecurity Governance Specialist is a senior policy and risk management position within Deeplight consultancy, embedded directly within a major banking client.<br> The role is responsible for designing, defining, and embedding enterprise-wide governance frameworks specifically built to manage cybersecurity risks associated with Artificial Intelligence and Machine Learning systems.<br> Serving as a foundational link between corporate risk policy, regulatory mandates, and technical execution, this position ensures that the bank’s AI deployments are secure, compliant, and ethically governed, while maintaining Deeplight’s benchmark for professional excellence.<br> Your responsibilities in this role include: Framework Definition: Establish, update, and maintain the bank's AI cybersecurity governance frameworks, policies, and operational guardrails.<br> Risk Lifecycle Management: Define the processes for identifying, assessing, and registering cybersecurity risks unique to AI models, training data pipelines, and third-party AI integrations.<br> Regulatory Compliance: Monitor and interpret emerging regional and global AI and financial regulations (e.<br>g., EU AI Act, local central bank guidelines) to ensure internal security policies remain fully aligned.<br> Cross-Functional Alignment: Collaborate with AI developers, MLOps engineers, legal counsel, and data privacy officers to ensure governance requirements are integrated without unnecessarily hindering innovation.<br> Executive &amp; Committee Reporting: Design and present comprehensive AI risk posture dashboards, policy exceptions, and compliance metrics to the bank’s risk committees and senior executive leadership.<br> Strategic Delivery: Act as a champion for secure AI adoption across the institution, modelling high professional standards and institutional accountability across all client engagements.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.<br> We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.<br> You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: AI Risk Governance: Expert knowledge of AI-specific risk landscapes, including model vulnerabilities (e.<br>g., data poisoning, prompt injection, model extraction) and ethical AI governance concepts.<br> Cybersecurity Frameworks: Deep proficiency in traditional and emerging cybersecurity and governance frameworks (e.<br>g., NIST AI RMF, ISO/IEC 42001, MITRE ATLAS, COBIT).<br> Regulatory Interpretation: Ability to translate complex regulatory documents and compliance obligations into practical, enforceable corporate policies.<br> Executive Communication: Exceptional verbal and written communication skills, with a proven ability to defend policy decisions to senior bank executives and regulatory auditors.<br> Strategic Diplomacy: Capacity to manage conflicting priorities between technical data science teams focused on velocity and risk teams focused on control Professional Tenure: Minimum of 6 years in cybersecurity governance, risk management, or compliance (GRC), with at least 2 years explicitly focused on emerging technologies, advanced data architectures, or AI/ML systems.<br> Financial Services Context: Documented experience designing policy or governance structures within a regulated tier-1 or tier-2 financial institution or highly regulated corporate environment.<br> Consulting Delivery: Prior experience in a client-facing professional services or consultancy capacity, managing executive-level relationships and delivery timelines.<br> Policy Crafting: Proven track record of drafting enterprise-grade technical policies, standards, and procedures that have successfully passed formal internal or external audits.<br> It would also be great if you have: Professional Certifications: Relevant designations such as CRISC, CGEIT, CISA, CISSP, or specialized credentials in AI ethics, data governance, and cloud security.<br> Technical Familiarity: Conceptual understanding of the machine learning lifecycle, cloud-native environments (AWS/Azure), and data lineage structures.<br> Risk Quantification: Experience utilizing advanced risk quantification methodologies (e.<br>g., FAIR framework) to estimate the financial impact of AI security failures.<br></span> </div>

The Integration Solution Architect defines and governs the organisation’s integration architecture and strategy, ensuring that applications, platforms, and data systems connect through secure, standardised, and reusable patterns that enable agility, interoperability, and real-time business insight.<br><br>The role provides both enterprise-level leadership and solution-level enablement, defining integration reference architectures, standards, and catalogues that guide how Petrofac designs and delivers connected digital services.<br><br>Working across cloud, data, and application domains, the Integration Architect ensures that all integration solutions are scalable, observable, automated, and event-driven — supporting a shift from point-to-point and synchronous models toward a composable, real-time integration fabric that underpins the enterprise.<br><br>This role combines enterprise governance (standards, catalogues, and lifecycle management) with solution-level delivery support, helping projects adopt modern integration practices such as API-led connectivity, event-streaming, low-code integration, and metadata-driven orchestration. The Integration Solution Architect ensures every integration decision contributes to improved automation, faster time-to-value, and measurable business outcomes.<br><br>Key Responsibilities<br><br> Define and evolve the enterprise integration strategy, aligning with business objectives, data governance, and cloud platform roadmaps. Design and maintain reference architectures and reusable patterns covering: API-led and service-oriented architectures (SOA) Event-driven and streaming architectures (Kafka, Event Grid, Event Mesh) Data-driven integration (CDC, streaming ingestion, analytics pipelines) Workflow and low-code integration (OIC Process Automation, Logic Apps, Power Automate). Own and govern the integration catalogue within the EA repository, ensuring APIs, events, and message contracts are version-controlled, documented, and reusable. Champion the transition to future integration paradigms, including federated API mesh, metadata-driven orchestration, and AI-assisted integration tooling. Provide technical leadership for integration platforms, including Azure Integration Services (Logic Apps, Service Bus, Event Grid, API Management) and Oracle Integration Cloud (OIC). Embed observability and resilience into all integrations, defining standards for logging, tracing, correlation IDs, retries, and automated error handling. Collaborate with Cloud, Data, and Security Architects to ensure integrated solutions are performant, governed, and compliant. Support project delivery by reviewing designs, guiding implementation, and ensuring adherence to integration standards and platform best practices. Establish and monitor integration KPIs (throughput, latency, reuse rates, error ratios, recovery MTTR) to drive continuous improvement. Promote automation and Dev Ops practices for integration build and deployment, embedding CI/CD pipelines, API contract testing, and policy-as-code governance. Contribute to solution and technology governance boards (SRB/TDA) to assure consistency of design and technology alignment across initiatives.<br><br>Qualifications<br><br> Bachelor’s degree in Computer Science, Engineering, or related discipline. 8–10 years’ experience in integration architecture and design across hybrid and multi-cloud environments. Proven experience implementing API-led, event-driven, and data-driven integration architectures. Strong expertise with integration platforms such as: Azure Integration Services (Logic Apps, Service Bus, Event Grid, API Management) Oracle Integration Cloud (OIC) or Oracle Service Bus Other i Paa S solutions (Mule Soft, Boomi, Kafka, Confluent, WSO2). Practical experience with API management, schema design, versioning, and contract testing. Familiarity with streaming and real-time data technologies (Kafka, Azure Event Hubs, Flink, Spark Streaming). Knowledge of data integration pipelines (ADF, Synapse Pipelines, Informatica, Talend) and CDC methods. Understanding of security integration, including OAuth2, JWT, m TLS, and gateway policy enforcement. Experience implementing CI/CD automation and infrastructure-as-code for integration deployments. Working knowledge of observability stacks (App Insights, Grafana, Open Telemetry) for integration health and traceability. Proficiency with Enterprise Architecture repositories and modelling tools (Orbus Infinity, Lean IX, Sparx EA) and standards such as Archi Mate, UML, BPMN. Familiarity with governance and compliance frameworks (ISO 27001, NIST, GDPR) and their implications for data movement and API design. Desirable: Experience integrating Oracle Fusion, EPM, Primavera, Unifier, and . NET/APEX platforms.<br><br>Additional Information

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Analyze operational data to identify trends and areas for process improvement, contributing to enhanced efficiency.</p></li><li><p>Support the development and implementation of new business strategies and processes.</p></li><li><p>Assist in the preparation of reports and documents for management reporting.</p></li><li><p>Collaborate with cross-functional teams on projects, gaining experience in teamwork and project management.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Currently pursuing or recently completed a Bachelor's degree in Business Administration, Economics, or a related field.</li><li>Demonstrates strong analytical skills with the ability to interpret data and identify key insights.</li><li>Proficient in Microsoft Office Suite (Excel, PowerPoint, Word) with a strong aptitude for data analysis.</li><li>Possesses excellent written and verbal communication skills, with the ability to articulate ideas clearly and concisely.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description client is looking for Murex Integration Senior Consultant who will be responsible of the end-to-end delivery of interfaces which includes Requirement gathering, Design, Build, Test, Deployment, Support. Responsibilities Gather requirements from stakeholders in a clear document Propose solution design in line with FAB guidelines Strong ability to implement complex solutions Excellent analytic and technical skills Navigate through the IT Delivery Process Team player Ability to build a network with other teams and third-party vendors Provide efficient production support Respect timelines Good communication skills Skills Must have Minimum 10 years of experience on Mx3.1 MxMLExchange &amp; Market Data In-Depth knowledge of Murex MxMLExchange, Market Data Batch and Live modules and Murex Data model Strong experience on interfaces (Bloomberg, Refinitiv, IHS Markit...) to trading platforms and market data providers Strong Shell Scripting capability Good SQL programming skills Good knowledge of overall Murex system Understanding of Control-M Good ability to suggest improvements in existing solutions Product knowledge FX, IRD, FI, EQD, CRD, MM, COM Knowledge on Cloud Nice to have NA Other Languages English: A1 Beginner Seniority Senior</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, develop, and maintain enterprise SQL Server databases and related database applications.</p></li><li><p>The ideal candidate will have strong experience in T-SQL programming, stored procedures, triggers, functions, and query optimization, along with database design, normalization, and indexing for high-performance systems.</p></li><li><p>Hands-on experience with MSSQL administration tasks such as backup/recovery, security, and performance monitoring is required.</p></li><li><p>The role involves collaborating with backend developers, solution architects, and business analysts to implement efficient, secure, and scalable data solutions, integrating with systems like webMethods, Redis, PostgreSQL, and cloud storage (AWS S3).</p></li><li><p>Familiarity with CI/CD pipelines, ETL processes, and enterprise best practices for data management is highly desirable.</p></li><li><p>Strong analytical, problem-solving, and communication skills are essential to ensure reliable, maintainable, and high-performing database solutions.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Possesses a Bachelor's degree in Computer Science, Information Technology, or a related field, providing a strong foundation in database principles.</li><li>Holds relevant certifications such as Microsoft Certified: Azure Database Administrator Associate, demonstrating a commitment to professional development.</li><li>Has experience working in the financial services industry, understanding the unique data requirements and security protocols.</li><li>Requires proficiency in English, enabling effective communication with colleagues and stakeholders.</li></ul><p></p></section>

Role Description The HR Operations Manager is responsible for overseeing the day-to-day delivery, coordination, and continuous improvement of human resources operations and processes. The role ensures that HR services are delivered efficiently, accurately, consistently, and in alignment with organizational policies, business requirements, and applicable employment standards. Responsibilities include managing core HR processes across the employee lifecycle, including onboarding, employee records, HR documentation, transfers, promotions, offboarding, policy administration, and personnel data management. The HR Operations Manager oversees the effective use of HR systems and ensures that employee information is maintained accurately, securely, and confidentially. The role works closely with HR teams, business leaders, managers, and employees to improve operational efficiency and provide effective support on HR-related processes and inquiries. It also supports the development, implementation, and continuous improvement of HR policies, procedures, workflows, and service delivery standards. The HR Operations Manager monitors operational performance, identifies process gaps, and develops practical solutions to improve efficiency, compliance, employee experience, and data quality. The position may also support HR reporting, workforce data analysis, payroll coordination, benefits administration, compliance activities, and HR projects. The role requires strong organizational skills, attention to detail, sound judgment, and the ability to manage sensitive employee information with professionalism and discretion. The HR Operations Manager contributes to building scalable, reliable, and employee-focused HR operations that support organizational growth and business objectives. Qualifications Bachelor's degree in Human Resources, Business Administration, Management, or a related field. Strong knowledge of HR operations, employee lifecycle processes, HR policies, personnel administration, and HR service delivery. Understanding of HR systems, employee data management, reporting processes, and operational controls. Excellent organizational, analytical, problem-solving, and process improvement skills. Strong attention to detail and ability to maintain accurate and confidential employee records. Ability to manage multiple priorities, coordinate cross-functional activities, and meet operational deadlines. Excellent communication, interpersonal, stakeholder management, and collaboration skills. Strong understanding of data privacy, confidentiality, compliance principles, and professional HR practices. Proficiency with human resources information systems, productivity software, reporting tools, and data management applications. Ability to identify process inefficiencies and develop practical solutions to improve HR operations. High level of professionalism, integrity, discretion, and sound judgment. Strong written and verbal English communication skills.

Company Description CNTXT AI is a data-first AI company that helps organizations prepare, build, deploy, and scale localized AI solutions while maintaining data sovereignty. The company delivers high-quality training data through labeling and annotation services for AI labs, enterprise data teams, and robotics applications, and builds custom AI solutions that integrate with existing systems. CNTXT AI’s proprietary product portfolio includes Munsit, a leading Arabic voice AI platform. By supporting clients from raw data to production-ready AI, CNTXT AI enables organizations and governments to move faster without compromising compliance or real-world performance.<br>Role Description This is an on-site, contract role for a Voice-Over Artist based in Riyadh, Saudi Arabia. The Voice-Over Artist will record clear, high-quality audio for AI training datasets, product demos, marketing materials, and other voice-driven experiences, with a strong focus on Arabic voice content. Responsibilities include interpreting scripts, delivering consistent vocal performances across multiple styles and tones, and collaborating with audio engineers and linguists to ensure recordings meet technical and linguistic standards. The role involves attending scheduled recording sessions, reviewing and re-recording segments as needed, and maintaining professional vocal health and readiness. The Voice-Over Artist will also provide feedback on script clarity and pronunciation guidelines to support the creation of robust voice AI models.<br>Qualifications<br> Strong voice performance skills, including clear diction, controlled pacing, and the ability to deliver different tones and styles (e.g., conversational, instructional, promotional). Experience with studio recording practices, including microphone technique, working with audio engineers, and following detailed technical directions. Ability to interpret scripts accurately, adjust delivery based on feedback, and maintain consistency across multiple recording sessions. Fluency in Arabic, with excellent pronunciation and articulation; proficiency in English is an advantage. Prior experience in voice-over, dubbing, broadcasting, or related audio performance work is preferred. Comfort working on-site in a structured recording environment in Riyadh, Saudi Arabia, and adhering to scheduled session times. Attention to detail, reliability in meeting deadlines, and openness to iterative review and re-recording processes. Familiarity with AI, speech technologies, or language data projects is a plus, though not required.

Company Description CNTXT AI is a data-first AI company that helps organizations prepare, build, deploy, and scale localized AI solutions while maintaining data sovereignty. The company delivers high-quality training data through labeling and annotation services for AI labs, enterprise data teams, and robotics applications, and builds custom AI solutions that integrate with existing systems. CNTXT AI’s proprietary product portfolio includes Munsit, a leading Arabic voice AI platform. By supporting clients from raw data to production-ready AI, CNTXT AI enables organizations and governments to move faster without compromising compliance or real-world performance.<br>Role Description This is an on-site, contract role for a Voice-Over Artist based in Riyadh, Saudi Arabia. The Voice-Over Artist will record clear, high-quality audio for AI training datasets, product demos, marketing materials, and other voice-driven experiences, with a strong focus on Arabic voice content. Responsibilities include interpreting scripts, delivering consistent vocal performances across multiple styles and tones, and collaborating with audio engineers and linguists to ensure recordings meet technical and linguistic standards. The role involves attending scheduled recording sessions, reviewing and re-recording segments as needed, and maintaining professional vocal health and readiness. The Voice-Over Artist will also provide feedback on script clarity and pronunciation guidelines to support the creation of robust voice AI models.<br>Qualifications<br> Strong voice performance skills, including clear diction, controlled pacing, and the ability to deliver different tones and styles (e.g., conversational, instructional, promotional). Experience with studio recording practices, including microphone technique, working with audio engineers, and following detailed technical directions. Ability to interpret scripts accurately, adjust delivery based on feedback, and maintain consistency across multiple recording sessions. Fluency in Arabic, with excellent pronunciation and articulation; proficiency in English is an advantage. Prior experience in voice-over, dubbing, broadcasting, or related audio performance work is preferred. Comfort working on-site in a structured recording environment in Riyadh, Saudi Arabia, and adhering to scheduled session times. Attention to detail, reliability in meeting deadlines, and openness to iterative review and re-recording processes. Familiarity with AI, speech technologies, or language data projects is a plus, though not required.

Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br><br>Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br>Customer Segmentation<br><br>Work Integrated Learning Customer Segmentation<br><br>Customer Segmentation<br><br>What is the main goal for this project?<br><br>The goal of this project is to enhance our marketing campaigns through re-evaluating our customer segmentation. We would like to implement cutting edge technology to analyze our customer segmentation, relative to each of our products and services. From the analysis, we hope to gain insights that will enhance our strategy and help us refocus our product/service marketing.<br><br>Improving pricing and risk selection. Identifying trends and potential predictive mitigation strategies. Developing more sophisticated products and pricing models. Submitting recommendations based on the analysis.<br><br>Duties And Responsibilities<br><br>By the end of the project:<br><br>Current industry standard approaches to Data Analysis and Data Visualization techniques. Unsupervised Machine Learning techniques, Clustering Outlier detection and anomaly identification in the data Understanding of variables that affect the accuracy of the model. Identification of areas for future improvement of the model.<br><br>Final Deliverables Should Include<br><br>All source code. A written report explaining the design process and outcomes.<br><br>Skills To Be Developed<br><br>As part of doing this project, interns can expect to be upskilled on below:<br><br>Energy Management systems, Reinforcement learning algorithms like Q-learning. Python, Machine learning.<br><br>About The Project<br><br> 12 Weeks Marketing Virtual Self-Paced<br><br>Register Now<br><br>Register Now<br><br>Our mission is to equip individuals with in-demand STEM skills, foster Research and Development capabilities, and forge connections, opportunities and partnerships with leading businesses in Emerging Technologies such as Data Science, Machine Learning, Artificial Intelligence, and Virtual/Augmented Reality. These skills and research experiences are highly sought after in diverse sectors including Clean Tech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.<br><br>Important Links<br><br>Applied AI Solutions Industry Aligned Upskilling Skillsboost AiMinds Courses Research Privacy Policy<br><br>Contact Info<br><br>Greater Chennai, Indiacontact@m2mtechconnect.com<br><br>Copyright © 2026 M2M Tech Designed By AiReach. All Rights Reserved

Job Description<br><br>Job Title: Linux/Ubuntu Ai Trainer<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>As a Linux/Ubuntu Ai Trainer you will work remotely on an hourly paid basis to support AI data training projects through structured, detail-oriented tasks. You will install apps and record your actions while completing tasks with patience, concentration, and strong attention to detail. This role requires you to have your own computer running Ubuntu/Linux and to be comfortable installing the applications and tools needed for the project. You do not need advanced AI experience, but you should be tech-savvy, reliable, careful with instructions, and able to work independently. This role is a good fit for students, junior candidates, and tech-savvy individuals who are patient, focused, detail-oriented, and comfortable working with Ubuntu/Linux. This is a fully remote, hourly paid contractor role with a fast-growing AI data services company that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your work will directly contribute to improving AI systems used across products and industries.<br><br>Your Profile<br><br>Have access to a personal computer running Ubuntu/Linux Be comfortable installing required apps, tools, and project software Be tech-savvy and able to follow setup instructions independently Be available for approximately 15 hours per week Be patient, concentrated, and detail-oriented Be able to follow written instructions carefully and consistently Be comfortable completing structured and sometimes repetitive tasks Have basic computer literacy and confidence using browser-based tools Be reliable, responsive, and able to meet task deadlines Student candidates and junior applicants are welcome Previous experience in AI data training, data annotation, QA, software testing, or research tasks is helpful but not required.<br><br>Key Responsibilities<br><br>Follow detailed written guidelines and apply them carefully Install and use required applications on an Ubuntu/Linux computer Check work for mistakes before submission Identify inconsistencies, unclear instructions, or technical issues when they arise Maintain focus during repetitive or detail-heavy tasks Complete assigned work within agreed weekly availability Communicate clearly with the project team when support is needed Contribute to improving the quality of AI model training data

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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<br><br>Job Title: Linux/Ubuntu User<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>As a Linux/Ubuntu User you will work remotely on an hourly paid basis to support AI data training projects through structured, detail-oriented tasks. You will install apps and record your actions while completing tasks with patience, concentration, and strong attention to detail. This role requires you to have your own computer running Ubuntu/Linux and to be comfortable installing the applications and tools needed for the project. You do not need advanced AI experience, but you should be tech-savvy, reliable, careful with instructions, and able to work independently. This role is a good fit for students, junior candidates, and tech-savvy individuals who are patient, focused, detail-oriented, and comfortable working with Ubuntu/Linux. This is a fully remote, hourly paid contractor role with a fast-growing AI data services company that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your work will directly contribute to improving AI systems used across products and industries.<br><br>Your Profile<br><br>Have access to a personal computer running Ubuntu/Linux Be comfortable installing required apps, tools, and project software Be tech-savvy and able to follow setup instructions independently Be available for approximately 15 hours per week Be patient, concentrated, and detail-oriented Be able to follow written instructions carefully and consistently Be comfortable completing structured and sometimes repetitive tasks Have basic computer literacy and confidence using browser-based tools Be reliable, responsive, and able to meet task deadlines Student candidates and junior applicants are welcome Previous experience in AI data training, data annotation, QA, software testing, or research tasks is helpful but not required.<br><br>Key Responsibilities<br><br>Follow detailed written guidelines and apply them carefully Install and use required applications on an Ubuntu/Linux computer Check work for mistakes before submission Identify inconsistencies, unclear instructions, or technical issues when they arise Maintain focus during repetitive or detail-heavy tasks Complete assigned work within agreed weekly availability Communicate clearly with the project team when support is needed Contribute to improving the quality of AI model training data

Role: Medical Research Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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: Medical Research Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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!

About UsAI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII). We are seeking a highly experienced and strategic Security Architect to define and lead the security architecture of our AI and data platform. In this role, you will be responsible for designing secure-by-design systems across AI workloads, data pipelines, and cloud-native infrastructure, ensuring the confidentiality, integrity, and availability of our platform at scale. You will collaborate closely with engineering, platform, and AI teams to embed security into every layer of system design, development, and deployment, while establishing standards and best practices aligned with enterprise and high-security environments.<br><br>Key Responsibilities Security Architecture and Design<br><br> Define and evolve the end-to-end security architecture for AI systems, data platforms, and cloud-native infrastructure. Establish and enforce Zero Trust principles, including identity-first security, m TLS, and fine-grained access control (RBAC/ABAC). Design secure patterns for distributed systems, event-driven architectures, and multi-tenant environments. Platform and Infrastructure Security Define security standards for Kubernetes-based platforms, including workload isolation, network policies, and runtime protection. Establish container and software supply chain security practices (e.g., image scanning, SBOM, signing, and provenance). Design secure deployment architectures for both cloud and restricted/air-gapped environments. AI and Data Security Define and implement security controls for LLM-based applications, RAG pipelines, and data platforms. Establish safeguards against AI-specific threats such as data poisoning, model extraction, and data leakage. Dev Sec Ops and Governance Embed security into Git Ops and CI/CD workflows, including policy-as-code and automated enforcement. Define and maintain secure SDLC practices aligned with ISO 27001 and internal governance frameworks. Lead threat modeling, architecture reviews, and security validations. Observability and Threat Detection Define requirements for security observability, including audit logging and anomaly detection. Ensure integration of security signals into observability platforms (e.g., Open Telemetry). Leadership and Collaboration Act as a security advisor to engineering and AI teams. Review system designs and enforce security standards. Mentor engineers and promote a strong culture of security awareness. Qualifications<br><br>Required Skills and Experience<br><br> Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field. 7+ years of experience in security engineering, architecture, or related roles. Experience designing security for distributed systems and cloud-native platforms. Strong understanding of Zero Trust, IAM, cryptography, and secure communication. Experience with Dev Sec Ops practices and secure CI/CD pipelines. Preferred Skills Experience securing AI/ML systems or data platforms. Familiarity with streaming technologies (e.g., Kafka, NATS). Experience in regulated or high-security environments. Certifications such as CISSP or CSSLP. Proficiency in Python or Bash for automation. Why Join Us? Work on cutting-edge AI technologies with a focus on security and ethics. Shape the security architecture of a next-generation AI platform. Collaborate with a diverse and talented team. Competitive salary, equity options, and benefits. Opportunities for growth and leadership.