Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
Ihr Profil Du studierst an einer Hoch- oder Fachhochschule und hast Interesse oder idealerweise bereits Vorkenntnisse in einem der folgenden Bereiche: Computer Vision / Bildverarbeitung Deep Learning / Machine Learning Programmierung und Softwareentwicklung (z. B. Python, PyTorch, TensorFlow) Datenanalyse und -aufbereitung Werkstofftechnik oder Beschichtungstechnik Du zeigst: Flexibilität und arbeitest zuverlässig und eigenständig nach Anweisungen Interesse an der Entwicklung von KI-basierten Analysemethoden und deren Integration in Softwarelösungen Pflichtbewusstsein, insbesondere bei der Durchführung wissenschaftlicher Arbeiten Grundkenntnisse im Bereich Werkstoffe und/oder Produktionstechnik sind von Vorteil Gute Sprachkenntnisse in Deutsch und Englisch Ihre Aufgaben Die folgenden Aufgaben bilden den Schwerpunkt deiner Tätigkeit: Einarbeitung in die automatisierte Analyse von Schliffbildern thermischer Spritzschichten Vorbereitung, Aufbereitung und Annotation von Bilddaten für das Training von Deep-Learning-Modellen Unterstützung bei der Implementierung, Training und Bewertung verschiedener Segmentierungsmodelle (z.
Ihr Profil Du studierst an einer Hoch- oder Fachhochschule und hast Interesse oder idealerweise bereits Vorkenntnisse in einem der folgenden Bereiche: Computer Vision / Bildverarbeitung Deep Learning / Machine Learning Programmierung und Softwareentwicklung (z. B. Python, PyTorch, TensorFlow) Datenanalyse und -aufbereitung Werkstofftechnik oder Beschichtungstechnik Du zeigst: Flexibilität und arbeitest zuverlässig und eigenständig nach Anweisungen Interesse an der Entwicklung von KI-basierten Analysemethoden und deren Integration in Softwarelösungen Pflichtbewusstsein, insbesondere bei der Durchführung wissenschaftlicher Arbeiten Grundkenntnisse im Bereich Werkstoffe und/oder Produktionstechnik sind von Vorteil Gute Sprachkenntnisse in Deutsch und Englisch Ihre Aufgaben Die folgenden Aufgaben bilden den Schwerpunkt deiner Tätigkeit: Einarbeitung in die automatisierte Analyse von Schliffbildern thermischer Spritzschichten Vorbereitung, Aufbereitung und Annotation von Bilddaten für das Training von Deep-Learning-Modellen Unterstützung bei der Implementierung, Training und Bewertung verschiedener Segmentierungsmodelle (z.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB)Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service MappingEnsure integrity, accuracy, and currency of all Configuration Items (CIs)Define, implement, and enforce ITIL-aligned configuration policies, standards, and proceduresAlign asset and configuration data in close cooperation with the Group Competence Center for IT Configuration ManagementSupport the integration of IT Asset Management and Configuration Management processes and toolsWork closely with Change Management, Incident Management, and the Service DeskConduct audits and process reviews, identify discrepancies, and drive corrective actionsTrain, advise, and support IT teams on configuration management best practicesContribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantageStrong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirableProven professional experience in Configuration Management within medium to large IT environmentsSolid knowledge of IT Asset Management and its interaction with configuration dataHands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platformsStructured, detail-oriented, and process-driven working styleConfident communicator, able to collaborate effectively across departments and stakeholder groupsVery good command of English, written and spokenExperience supporting ITSM-related projects, particularly automation and tool integration initiativesConfidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office optionExtensive Learning & Development opportunitieLife balance & family-friendly benefitsModern office environment with canteenHealth & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB) Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service Mapping Ensure integrity, accuracy, and currency of all Configuration Items (CIs) Define, implement, and enforce ITIL-aligned configuration policies, standards, and procedures Align asset and configuration data in close cooperation with the Group Competence Center for IT Configuration Management Support the integration of IT Asset Management and Configuration Management processes and tools Work closely with Change Management, Incident Management, and the Service Desk Conduct audits and process reviews, identify discrepancies, and drive corrective actions Train, advise, and support IT teams on configuration management best practices Contribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantage Strong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirable Proven professional experience in Configuration Management within medium to large IT environments Solid knowledge of IT Asset Management and its interaction with configuration data Hands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platforms Structured, detail-oriented, and process-driven working style Confident communicator, able to collaborate effectively across departments and stakeholder groups Very good command of English, written and spoken Experience supporting ITSM-related projects, particularly automation and tool integration initiatives Confidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office option Extensive Learning & Development opportunitie Life balance & family-friendly benefits Modern office environment with canteen Health & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than 1-year ofworking experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with a deep interest in IT industry who enjoys challenges and strive to work with professionals in IT industry globallyAble to quickly absorb professional knowledge, good in problem-solving, contribution and leadershipEagerness to take responsibility over complex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) Experience in self-initiated projects WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposure Meal Card and Flexible Benefits – customized according to individual needs On-going professional and technical training and certifications A multicultural environment in modern offices Choose any day for your vacation from earned public holiday (Saturday and ad hoc) Smart casual everyday Global internal job opportunities available within DPDHL Unlimited Outpatient Medical Home office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services APPLICATION YOU WILL USE •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
Key Responsibilities: ·Provides specialized administrative support in the development, implementation, and marketing of our two HR development programs ·Serves as a central point of contact between prospective employees, vendors, staff, other departments, and/or external constituencies on day-to-day operational, and administrative matters; assists with meetings, special projects, and/or general problem resolution ·Coordinates activities and administration of program objectives; this requires engaging internal and external stakeholders ·Monitors and administers program/project expenses; may develop or participate in the development of funding proposals for the program ·Writes, edits, and coordinates development of course catalogs, promotional materials, educational materials, training manuals, newsletters, and/or brochures, as appropriate to the program ·Maintains program/project records, researches information and gathers and computes various data; prepares special and/or one-time reports, summaries, or replies to inquiries, selecting relevant data from a variety of sources.