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Keystone AI

<div>
 
 About Keystone AI
 
 
 
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
 
 
 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
 
 
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 
 
 
 Economic, Technology, and Strategy Advisory (ETSA)
 
 
 
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 
 
 
 What We Do
 
 
 
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
 
 
 
 How We Operate
 
 
 
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
 
 
 
 Who We Serve
 
 
 
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 
 
 
 Our practice areas
 
 
 
 <ul>
 <li>
 Antitrust &amp; Competition
 </li>
 <li>
 Financial Economics, Tax, and Securities (FETS)
 </li>
 <li>
 Intellectual Property (IP)
 </li>
 <li>
 Information Strategy, Risk and Regulation (ISRR)
 </li>
 <li>
 Healthcare and Life Sciences
 </li>
 <li>
 Technical Investigations
 </li>
 <li>
 Behavioral Insights
 </li>
 <li>
 Strategy Consulting
 
 
 </li>
 </ul>
 
 Staff Data Scientist
 
 
 
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
 
 
 
 Role Expectations
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Lead the design and implementation of analytical solutions, from data architecture to model deployment
 </li>
 <li>
 Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
 </li>
 <li>
 Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
 </li>
 <li>
 Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
 </li>
 <li>
 Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
 </li>
 <li>
 Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
 </li>
 <li>
 Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
 </li>
 <li>
 Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
 </li>
 <li>
 At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
 </li>
 <li>
 Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
 </li>
 <li>
 Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
 </li>
 <li>
 Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
 </li>
 <li>
 Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
 </li>
 <li>
 A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
 
 
 </li>
 </ul>
 
 Why Keystone AI
 
 
 
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 
 
 <ul>
 <li>
 Work on frontier matters shaping the future of AI, data, and digital regulation
 </li>
 <li>
 Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
 </li>
 <li>
 Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
 </li>
 <li>
 Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
 
 
 </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 
 
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>

Staff Data Scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
 </li>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 </li>
 <li>
 Build and deploy retrieval augmented generation systems and other applications of large language models.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
 </li>
 <li>
 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
 </li>
 <li>
 Strong problem-solving and coding skills.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML, and DL
 </li>
 <li>
 Solid understanding of recommendations, ranking, and retrieval.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.
 </li>
 </ul>
</div>

Senior Data Scientist II

Precise Communications

○ Framing use cases with business teams, validating data availability, and translating business requirements into robust pipelines and architectures.○ Explaining analytical and AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.○ Designing and implementing analytical solutions (including machine learning and GenAI) that create measurable business impact.○ Conducting thorough data processing and data modeling, effectively applying analytical and AI solutions to achieve business outcomes.○ Ensuring solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.○ Visualizing and communicating outcomes for executive-level audiences.<ul><li>Intellectual curiosity and problem-solving skills, with the ability to structure and prioritize for maximum impact.</li></ul><ul><li>Experience managing more junior resources and allocating tasks</li></ul>Requirements<ul><li>A Master&rsquo;s degree in data science, machine learning, mathematics, computer science, software engineering, or related fields.</li></ul><ul><li>5+ years of hands-on experience in developing and implementing data-driven solutions within the telecom domain.</li></ul><ul><li>Deep professional understanding of customer analytics and related metrics within telco or another consumer facing firm.</li></ul>Job Type: Full-timePay: AED30,000.00 - AED35,000.00 per month

Senior Data Scientist

IneXa Technoloy Ltd

Arabic Change Management Specialist &ndash; Technology HouseRole OverviewWe are seeking a Change Management Specialist to support a large digital transformation programe in a software development house.This role will help transition development teams from traditional, siloed delivery to a modern, product-centric, AI-assisted software factory model, aligned with certain change frameworks.The specialist will work closely with engineering leadership, HR, delivery managers, and platform teams to ensure sustainable adoption of new ways of working.Key ResponsibilitiesChange Management &amp; Adoption<ul><li>Lead change initiatives supporting the rollout of an AI Software Factory operating model</li><li>Apply the change model to drive adoption across engineering and delivery teams</li><li>Manage stakeholder alignment, communication, and resistance to change</li><li>Enable smooth transition from As-Is &rarr; To-Be delivery models</li></ul>Software Factory Operating Model<ul><li>Support definition, rollout, and adoption of factory roles and responsibilities, including:</li><li>Product Owner / Product Manager</li><li>Business Analyst / Requirements Engineer</li><li>Solution &amp; Enterprise Architect</li><li>Software Engineer</li><li>QA / Test Engineer</li><li>DevOps Engineer</li><li>Security &amp; Compliance Roles</li><li>AI / Automation Engineers</li><li>Delivery Manager / Scrum Master</li><li>Platform &amp; Tooling Owners</li><li>Align teams to standardised factory processes, governance, and delivery flows</li></ul>HR &amp; Process Enablement<ul><li>Support HR in aligning job descriptions, responsibilities, and career paths with the new factory model</li><li>Enable adoption of Agile, DevOps, CI/CD, and AI-assisted development practices</li><li>Ensure documentation is structured and maintained in Confluence</li></ul>Required Experience<ul><li>Strong background in change management for software delivery organizations</li><li>Demonstrated experience implementing the change model</li><li>Experience working within software factories, delivery hubs, or large digital transformation programs</li><li>Understanding of AI-enabled development environments is a strong plus</li><li>Ability to work across technical and non-technical stakeholders</li></ul>Location &amp; Language<ul><li>Must be able to travel to Iraq on a weekly basis</li><li>Arabic and English is a must</li></ul>Contract Details<ul><li>Duration: Initial 3-month contract with potential for long term</li><li>Start: 4th of January 2026</li><li>On-site / Hybrid</li></ul>Job Types: Full-time, Contract Contract length: 3 monthsPay: AED7,500.00 - AED20,500.00 per monthApplication Question(s):<ul><li>Are you available to start on the 4th of January?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Change Management/HR: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>Willingness to travel:<ul><li>50% (Required)</li></ul>Work Location: RemoteExpected Start Date: 04/01/2026

Arabic Speaking Change Management Specialist – Technology House

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Chalhoub Group

<div>
 
 INSPIRE | EXHILARATE | DELIGHT
 
 
 
 For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
 
 
 Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
 
 
 Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work&reg; certification in several markets.
 
 
 Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.
 
 
 
 What You'll Be Doing
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
 </li>
 <li>
 Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
 </li>
 <li>
 Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
 </li>
 <li>
 Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
 </li>
 <li>
 Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
 </li>
 <li>
 Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
 </li>
 <li>
 Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
 </li>
 <li>
 Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
 </li>
 <li>
 Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
 </li>
 <li>
 Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
 </li>
 <li>
 Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
 </li>
 <li>
 Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in applied data science or machine learning.
 </li>
 <li>
 Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).
 </li>
 <li>
 Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.
 </li>
 <li>
 Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.
 </li>
 <li>
 Knowledge of model performance metrics, statistical validation, and A/B testing approaches.
 </li>
 <li>
 Familiarity with bias detection techniques and fairness frameworks.
 </li>
 <li>
 Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.
 </li>
 <li>
 Comfort working with structured and semi-structured data, including tabular and time-series formats.
 </li>
 <li>
 Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.
 </li>
 <li>
 Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.
 </li>
 <li>
 Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.
 
 
 </li>
 </ul>
 
 What We Can Offer You
 
 
 
 With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
 
 
 We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
 
 
 
 We Invite All Applicants to Apply
 
 
 
 It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
 
 
 We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.
</div>

Achyutam International - Consulting in HR & Finance

Procurement Specialist - Packaging - Dubai Procurement Specialist - Packaging - Dubai Get AI-powered advice on this job and more exclusive features.Position: Procurement Specialist - Packaging Location: Dubai Experience: 5+ Years of experience in the relevant field (FMCG, Retail and Trading Companies) Qualification: Bachelor's degree in Business, Finance, or a related field. Roles And Responsibilities <ul><li>Manage end-to-end packaging procurement with full supply chain visibility.</li><li>Align with internal teams and escalate risks promptly.</li><li>Validate and prepare shipment documents as per regulations.</li><li>Reconcile vendor accounts and resolve invoice/payment issues.</li><li>Support NPD by sourcing packaging, samples, artwork, and tooling.</li><li>Collaborate with cross-functional teams for cost-effective packaging solutions.</li><li>Prepare sourcing proposals with cost analysis and supplier recommendations.</li><li>Ensure compliance with procurement policies and ethical sourcing.</li><li>Contribute to sustainability, cost-saving, and supplier optimization goals.</li><li>Handle the P2P cycle accurately and timely.</li><li>Proficient in SAP MM module. </li></ul> Interested ones can share their CV at Achyutam International is a leading Recruitment Agency for Jobs in Africa, Middle East and Asia, both for Expatriates and for Local professionals. Through our AI based database, which has a large number of professionals interested in International jobs, Achyutam International closes any challenging mandates in the fields of operations, engineering, production, R&D, Quality Control, Supply Chain Management, Logistics, IT, Finance, Sales, CEO's and others; Many candidates has got jobs in Edible Oil, plastics, FMCG, beverages, metals, fodd processing, Agri, Textiles, steel, packaging,etc Achyutam International has headhunted professionals in 30+ countries like Nigeria, Ghana, Benin, Conakry, IVC, Cameron, Senegal, South Africa, Mozambique, Kenya, Tanzania, Ethiopia, Angola, DR Congo, Malawi, Rwanda, Sudan, Malaysia, Indonesia, UK, Singapore, Mauritius, Madagascar, UAE, Dubai, Saudi Arabia, Kuwait, Oman, Muscat, etc. Seniority level <ul><li> Seniority level Not Applicable</li></ul> Employment type <ul><li> Employment type Full-time</li></ul> Job function <ul><li> Job function Information Technology</li><li> Industries Food and Beverage Manufacturing</li></ul>Referrals increase your chances of interviewing at Achyutam International - Consulting in HR & Finance by 2x Sign in to set job alerts for "Packager" roles. Dubai, Dubai, United Arab Emirates 58 minutes ago Officer - Quality Assurance & Contract Administration (Arabic - English speaking) Personal Assistant (To take care all personal matters for a VVIP Dubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours ago Senior Executive Assistant (Arabic Speaker) German Speaking Executive Assistant to the CEO Dubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 21 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours ago Office Manager/Executive Assistant (Arabic Speaker) Dubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours agoDubai, Dubai, United Arab Emirates 5 hours ago Personal Assistant to - Dubai (European Citizen) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Procurement Specialist - Packaging - Dubai

Explore 769+ Ai specialist in Dubai United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

769 ai specialist jobs IN Dubai United Arab Emirates

Staff Data Scientist

Senior Data Scientist II

Senior Data Scientist

Arabic Speaking Change Management Specialist – Technology House

Senior Data Scientist

Senior Data Scientist

Procurement Specialist - Packaging - Dubai