Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Business Intelligence Developer

.Net Engineer

system engineer

Business Analyst

Senior DevOps Engineer

Software Quality Engineer

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: <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>Provide application L1/L2 support and system checks (CPU, disk usage, logs, services)</li><li>Troubleshoot and resolve system and application issues, and provide on-site technical support to ensure timely resolution and minimal disruption to business operations</li><li>Monitor application health and system alerts, escalating issues as needed</li><li>Log incidents and service requests in the ticketing system, ensuring timely resolution</li><li>Coordinate with L3 teams and vendors for issue escalation and follow-up</li><li>Perform routine maintenance tasks, such as application updates, patching, and backups</li><li>Maintain clear documentation of issues, fixes, and procedures</li><li>Participate in system testing, deployment, and post-deployment support activities</li><li>Assist in user access management and configuration </li><li>Requirements:</li><li>Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent</li><li>Minimum 2 years in application maintenance, support or server infrastructure setup</li><li>Experience participating in Kubernetes cluster projects, with proficiency in using relevant commands to check application logs</li><li>Experience with at least two of the following Virtualization Technology/Platforms: VMware, Xen, KVM, OpenStack, Cloud Stack, Azure Stack</li><li>Experience with cloud orchestration, configuration management and auto-scaling techniques</li><li>Thorough knowledge of networking, routers, switches, and WiFi setup</li><li>Hands on experience in deploying ceph using different file system such as object storage, rbd, cephfs storage</li><li>Good knowledge of storage technologies, such as NAS, SAN, SDS</li><li>Experience with automation tools such as Salt/Chef/Puppet/Ansible</li><li>Experience with load balancing setup for TCP/IP, HTTP, DNS, routings.</li><li>Experience in using software version control</li><li>Knowledge of IT security standards, for instance from CIS or IM8.</li><li>Experience in IT security policy management and enforcing IT security</li><li>Knowledge of computer hardware components and ability to restore faulty servers to working condition.</li><li>Experience in coding or scripting languages such as bash, windows batch script, powershell, perl, python, etc.&nbsp;</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>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

Responsibilities: <ul><li>We develop products in the fields of speech recognition, ambient scribe, and digital dictation. Our products are mainly used in hospitals and medical practices.</li><li>You ensure the quality of our software through automated and manual testing.</li><li>You identify, analyze, and solve simple errors in web applications, iOS, and Android apps.</li><li>You work with E2E testing tools such as Cypress and Detox.</li><li>You collaborate closely with the development team and the Product Owner.</li><li>You support the team with additional testing-related tasks.</li></ul> Requirements: <ul><li>Education in application development or degree in computer science, or several years of experience in test automation (E2E testing) with a focus on web applications or mobile apps.</li><li>Proficiency in TypeScript or another scripting language.</li><li>Strong communication skills with an appreciative style.</li><li>Quick comprehension and independent way of working.</li><li>Strong quality awareness and a passion for testing.</li><li>Very good German skills and good English skills.</li></ul> Other Information: Our Technological Environment: <ul><li>.NET, C#, Web API, Entity Framework, SignalR, WPF, xUnit</li><li>Angular, TypeScript, Electron, Cypress</li><li>React Native, Detox</li><li>Azure DevOps Services with Git</li><li>Microsoft SQL Server</li><li>JetBrains products (Rider)</li><li>Microsoft Windows and Apple macOS as target systems for desktop applications</li><li>iOS and Android as target systems for mobile applications</li><li>Our applications are hosted both in the cloud (Microsoft Azure VMs) and on-premises at our clients’ sites.</li></ul> An Advantage Would Be: <ul><li>Certificate as “Test Automation Engineer” (e.g., ISTQB) or willingness to further your education.</li><li>Experience with CI/CD tools such as Azure DevOps.</li><li>Knowledge of agile methods (especially Scrum).</li><li>Knowledge of database technologies (Microsoft SQL).</li><li>Knowledge of C# and PowerShell.</li></ul> What we offer you (and much more): <ul><li>Alongside a young and modern company culture, you can expect an agile and communicative working environment, great team events, motivating team spirit, and many other benefits:</li><li>A personalized onboarding program so you can fully focus on your new tasks and get to know your new team.</li><li>5 weeks of vacation, increasing to 6 weeks after 3 years, and 7 weeks after 10 years.</li><li>Your birthday off.</li><li>Option to work from home.</li><li>Support and funding for training and further education.</li><li>Free parking, reimbursement of public transport pass, or contribution to your commuting costs, plus a free half-fare travelcard.</li><li>Free coffee, soft drinks, and snacks at the workplace.</li><li>Modern hardware and software, plus a comfortable ergonomic workstation.</li><li>State-of-the-art offices with an in-house game lounge, fitness room, rooftop terrace, and a kitchen with catering options.</li></ul>

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27 sql server Jobs found

Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Business Intelligence Developer

.Net Engineer

system engineer

Business Analyst

Senior DevOps Engineer

Software Quality Engineer

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27 sql server Jobs found

Digital Factory Engineer

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Business Intelligence Developer

.Net Engineer

system engineer

Business Analyst

Senior DevOps Engineer

Software Quality Engineer

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.