Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Sales Manager

Business Intelligence Developer

.Net Engineer

Full Stack Engineer

Regulatory and Wellbeing Affairs Assistant Manager/Specialist

Business Analyst

Responsibilities: <ul><li>At our client, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.&nbsp;</li><li>Drives the implementation of programs and projects to improve products and processes and develops deployment plans.&nbsp;</li><li>Digital Factory transformation project followed APAC and Internal plant.direction.&nbsp;</li><li>Daily trouble shooting in production, provide short term &amp; long term solution to team.&nbsp;</li><li>Suggest &amp; drive improvements digital solution.&nbsp;</li><li>Support project assignment.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Plant digitals, cooperate with APAC and our client service team for transformation project.&nbsp;</li><li>Digital factory transformation project implementation, Identify and resolve issue during implementation.&nbsp;</li><li>Training on new digital tools and technologies. Develop training material and provide training to ensure fully utilization.&nbsp;</li><li>Maintain and troubleshooting for exiting digital tools, AGV, Material Calling System, Hydra, dPIM etc.&nbsp;</li><li>Continuous Improvement, identify new opportunities and innovation in operation processes.&nbsp;</li><li>Data analysis and monitoring, Operations Scorecard, Operation Dashboard (SCCOP, SHE, OEE) and advise weakness areas for improvement.&nbsp;</li><li>Handle on CER related /CI working with operations and cross functional team.&nbsp;</li><li>Support operations project assignment.&nbsp;</li></ul> What your background should look like&nbsp; <ul><li>Bachelor’s Degree in Information Technology, Computer science or related field.&nbsp;</li><li>Strong knowledge and experiences in Digital transformation projects.&nbsp;</li><li>Familiarity with digital tools and technologies used in manufacturing.&nbsp;</li><li>Minimum 3 to 6 years working experience in manufacturing sector.&nbsp;</li><li>Knowledge of in cloud technology, virtualization, mobile application, IOT, SQL Server.&nbsp;</li><li>Reporting Services, Power BI, Tableau.&nbsp;</li><li>Good knowledge in Data Storage, Cloud, Microsoft Power Apps.&nbsp;</li><li>Good knowledge in Dashboard creation, Graphic and User Interface (UI) design.&nbsp;</li><li>New enhancement for new functionality in SAP and Hydra.&nbsp;</li><li>OEE, Utilization analysis skill.&nbsp;</li><li>Knowledge and experiences in Enterprise Resource Planning software – SAP/BOM/Routing will be advantage.&nbsp;</li><li>Logical thinking with Project Management Skill.&nbsp;</li><li>Fluent in English and good communication.&nbsp;</li><li>Interpersonal skills.&nbsp;</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Key Activities:&nbsp; <ul><li>Selling products by establishing contact and developing relationships with prospects.</li><li>Comprehensive understanding of customers’ market dynamics, segments and trends.</li><li>Engage with our Key Accounts at all levels.</li><li>New business lead generation.</li><li>Business prospecting and targeting.</li><li>Identification of new opportunities to deliver revenue and profitability growth.</li><li>Manage Sales process from enquiry through qualification to order completion.</li><li>Build strong and long-lasting customer relationships and understand their needs.</li><li>Management of sales pipeline through Opportunity Pipeline Tracker.</li><li>Support global commercial teams on deployment of regional, key account management strategies.</li></ul> Sales Planning and Market Development&nbsp; Key Activities:&nbsp; <ul><li>Develop and implement sales plan.</li><li>Effective customer preparation.</li><li>Delivery of market segmentation matrix.</li><li>Pitching relevant products to customers.</li><li>Support customer forecasting process with other sites.</li><li>Drive new products/solutions with innovation team from the market insights and customer needs gathered.</li><li>Attendance of Regional Sales meetings.</li></ul> Performance Management&nbsp; Key Activities:&nbsp; <ul><li>Continuous review of market performance versus the annual plan with creation of action plans to address areas of under-performance, driving new activity.</li><li>Market trend analysis and competitor activities within the region.</li><li>Pro-actively act from “Voice of the Customer” survey.</li><li>Tracking performance through Salesforce.com.</li></ul> KPI’s: Market sales and profitability versus plan and prior year. Customer feedback from VOC survey. Sales pipeline conversion rate. Sales growth&nbsp; Requirements: <ul><li>Degree (Accounting, Engineering, Business and Marketing majors strongly encouraged).</li><li>5-7 years of experiences in the relevant industries.</li><li>Experience in ERP systems (e.g. IBM Cognos), database management and advanced Excel / Access user</li><li>Strong analytical skills with attention to details.</li><li>Energetic self-starter possessing self-confidence and maturity</li><li>Excellent presentation skills.</li><li>Excellent verbal, writing and listening skills.</li><li>Strong negotiation skills to close deals under time and pressure.</li><li>Passion for sales and business growth Project management skills.</li><li>Highly self-motivated, ambitious, resourceful and driven.</li><li>Capable of working under pressure.</li><li>Strong sense of prioritization with the ability to quickly move from one task to another.</li><li>A flair for innovative business proposals.</li><li>Good understanding of business processes, including sales, supply chain and customer service.&nbsp;</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain .NET applications.</li><li>Collaborate with cross-functional teams to analyze, design, and implement new features.</li><li>Participate in code reviews to ensure code quality and maintainability.</li><li>Identify and troubleshoot software defects and performance issues.</li><li>Ensure compliance with coding standards and best practices.</li><li>Stay up-to-date with industry trends and technologies to continuously improve software development practices.</li></ul> Requirements: <ul><li>Experience with web development technologies such as ASP.NET, MVC, and JavaScript frameworks (React, Angular, etc.)</li><li>Knowledge of database technologies (SQL, NoSQL)</li><li>Experience with version control systems (Git, SVN)</li><li>Ability to write clean, maintainable, and efficient code</li><li>Strong problem-solving and communication skills</li><li>Bachelors degree in Computer Science or a related field.</li><li>Strong experience in .NET development.</li><li>Proficiency in C# and .NET frameworks.</li></ul>

Responsibilities: <ul><li>Design, develop, test, and deploy smart contracts using Solidity (bonus for Rustbased smart contracts).</li><li>Build and maintain frontend applications using Next.js, React, TypeScript, Wagmi, and Viem.</li><li>Develop and manage backend services, including REST APIs, using Node.js, Rust, or other modern frameworks.</li><li>Implement and maintain subgraphs and substreams (The Graph) for on-chain data indexing and querying.</li><li>Write and maintain scripts (JavaScript, Bash, etc.) for automation, tooling, and DevOps tasks.</li><li>Contribute to and maintain infrastructure using Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with cross-functional teams to define, design, and ship new features and systems.</li><li>Participate in code reviews, testing, and documentation to ensure high-quality software.</li><li>Stay current with the latest developments in Web3, blockchain, and infrastructure tooling</li></ul> Requirements: <ul><li>Minimum of 5+ years of experience in software development across the stack.</li><li>Bachelors degree preferred or equivalent experience</li><li>2+ years of experience with Solidity and smart contract development.</li></ul>

Responsibilities: Regulatory Support: Innovation:&nbsp; <ul><li>Work closely with R&amp;D and business partners regarding regulatory matters.&nbsp;</li><li>Work closely with Product development, marketing, legal and all relevant teams to ensure local regulatory and external requirements, restrictions and risks are identified, accurate, relevant and timely input given to innovation projects. (These could be in areas of claims, labelling, permitted additives/formulations, new product regulations.)</li><li>Performs regulatory compliance assessments for the markets of scope.</li><li>Performs technical registrations across markets of scope through preparing registration files and applying at the government bodies responsible for registration.</li></ul> Advocacy: <ul><li>Understands external environment and regulatory developments, supports building lobbying plans, advocacy priorities and actions aligned with relevant interfaces (legal, R&amp;D.)</li><li>Provides RA input on the topic and helps to implement the communication plan with other functions locally.</li><li>Implement advocacy plans for regulatory changes or new product regulations.</li><li>Represent the function in external platforms on technical issues, lobby activities and approvals to support aligned and agreed lobby/advocacy topics.</li></ul> Wellbeing Support: <ul><li>Propose / calculate the nutrition facts of recipes/breakfasts/snacks with our products, comparison with other traditional options.</li><li>Assist in compliance with nutrition regulations and self-governance, localization of substantiation for claims (TV, print, web, POS).</li><li>Management of a nutrition database of products in the region, populating it with renovations and innovations</li></ul> Requirements: <ul><li>A Scientific degree (Pharmacy, Science.), a nutrition degree is a plus.</li><li>Should have a minimum of 1-3 years of experience in Regulatory Affairs/Nutrition Function in a Food Industry.</li><li>Ability to be a team player in support of the team and the business.</li><li>Ability to organize and coordinate</li><li>Ability to work in a high-pressure environment with tight deadlines</li><li>Analytical thinking with the ability to plan, prioritize and deliver results&nbsp;</li><li>Knowledge of the health agenda in food and nutrition and awareness of key players in the Reg and wellbeing debate&nbsp;</li><li>Commercial interest with the ability to demonstrate a committed approach to delivering for the customer and consumer.</li><li>A confident communicator capable of presenting.</li><li>Good Language Skills / Vocabulary in written and spoken English and preparation of Techno legal drafts.</li><li>Any other languages like French is a good to have.</li></ul> Work Environment: <ul><li>Based in Cairo.</li><li>Internal Relationship: Legal, Marketing, supply chain, Corporate Affairs, R&amp;D.</li></ul>

Responsibilities: <ul><li>Collaborate with business users, subject matter experts, and technical teams to gather and analyze requirements for blockchain-based software solutions.</li><li>Conduct interviews, workshops, and document analysis to understand current business processes and identify opportunities for blockchain-driven improvements.</li><li>Create detailed requirement specifications, including use cases, user stories, process flows, and data models.</li><li>Prioritize requirements based on business value and technical feasibility in collaboration with stakeholders.</li><li>Facilitate discussions and manage stakeholder expectations, building consensus across diverse teams.</li><li>Work within an Agile development framework, participating in sprint planning, reviews, and retrospectives.</li><li>Translate business requirements into functional specifications and support the development team during implementation.</li><li>Conduct validation and acceptance testing to ensure the solution meets business needs.</li><li>Continuously evaluate solution performance and gather feedback for future enhancements.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business Administration, Finance, Computer Science, or a related field.</li><li>Minimum of 3 years of experience as a business analyst, preferably in the financial sector.</li><li>Strong understanding of blockchain technology and its applications in finance.</li><li>Experience with Agile methodologies and Scrum governance.</li><li>Excellent communication and interpersonal skills.</li><li>Proven ability to work effectively with diverse stakeholders and cross-functional teams.</li></ul>

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36 sql server database Jobs found

Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Sales Manager

Business Intelligence Developer

.Net Engineer

Full Stack Engineer

Regulatory and Wellbeing Affairs Assistant Manager/Specialist

Business Analyst

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36 sql server database Jobs found

Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Sales Manager

Business Intelligence Developer

.Net Engineer

Full Stack Engineer

Regulatory and Wellbeing Affairs Assistant Manager/Specialist

Business Analyst

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.