You will love your job! Your Background Includes: Knowledge of computer networking (TCP/IP) an advantage Minimum 1 year of customer facing experience Very good spoken and written English Good communication, prioritization and organization skills Ability to work independently and under time and workload pressure Ability to follow agreed instructions and find ways to improve existing processes Your Day To Day Responsibilities Include: Provide support and consultancy for the successful deployment of secure network connectivity between DPDHL and 3rd parties Support the Secure Access Operations department in the delivery of properly engineered network security services Ensure all requests are properly documented and strictly follow the Network Security processes Assume end-to-end task ownership and promptly respond to customer queries Propose ideas to improve the service DHL is an equal opportunity employer.
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 Products you need to be familiar with •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.
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.
Develop IT-security–focused application software using modern C++ (non-embedded)Implement and integrate a Classroom Training System based on Virtual Battlespace 4 (VBS4), including scenario logic and system extensionsBuild and maintain distributed simulation environments for multi-user training setupsContribute to software design, UML modeling, code reviews, and unit testingWork with tools such as Git/Mercurial, Qt, and Visual StudioCollaborate closely with simulation specialists and customers in the defence sectorPrepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH)Solid knowledge of distributed simulatorsExperience with Virtual Battle Space 4 (VBS4)In-depth knowledge of object-oriented software development with C++ is an advantageExperience in C++ development outside the embedded domainProfessional experience in the defence sector is an advantagePractical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantageStrong analytical skills and the ability to quickly understand complex software systemsSolution-oriented, innovative, and independent working styleExcellent English skills, both written and spoken By applying through Hays, you will be part of a small, well-fitting selection presented to the client for this positionOpportunity to gain valuable professional experience at a globally leading companyProfessional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviewsBenefit from exclusive access to exciting companies and projects in collaboration with Hays as a reliable and stable partner Ihr Kontakt Referenznummer 863812/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Your tasks Definition and verification of requirementsSpecification and implementation of partial functions of "Trajectory Tracking Control", and "Mode Management"Implementation of development-related tests in the vehicle and simulation and evaluationImplementation and evaluation of benchmarking testsAnalysis of measurement traces from tests incl. bug fixingExecution of software maintenance steps, with verification of the implementation for conformity with development standards by means of static model checks and design optimization by means of software adaptationAdaptation, extension and maintenance of the development toolchain (CI/CD) incl. extension by unit testing / SiL stepsVerification: Unit test specification and executionDevelopment of tools for the automatic evaluation of test recordings with regard to suitable metricsDocumentation of activities carried out and developed functions Your qualifications Completed master's degree in computer science / mechatronics / electrical engineering / robotics or comparableExperience in model-based function developmentWillingness to work in a team and communication skillsAbility to work independently, purposefully.Very good knowledge of Matlab/SimulinkExperience with Git, practical experience in using Gitlab + CI/CD is an advantagePrevious practical knowledge of DSPACE ConfigurationDesk, ControlDesk, Micro-Autobox III is an advantage.In particular, knowledge of CAN communicationGood knowledge of software development with Python is an advantageBasic knowledge in the field of functional safety / ISO 26262 Car driver's license is an advantage Xtended Engineering GmbH connects qualified engineers with companies from industry and business.
This appeals to you: Design, develop, and implement embedded software solutions for various microcontrollers and processorsCollaborate with hardware engineers to define software architecture for embedded systems, considering hardware constraintsWrite efficient, reliable code in C, C++, or assembly language for embedded systemsDevelop software for RTOS (Real-Time Operating System) to ensure timely and predictable task executionCreate and optimize drivers for peripherals and interfaces like sensors, actuators, and communication modulesIdentify and resolve issues through debugging and testing to ensure system stability and performanceWork with cross-functional teams, including hardware engineers and quality assurance, to deliver integrated solutionsImplement security measures to protect embedded systems from vulnerabilities and cyber threatsOptimize code and algorithms for resource-constrained environments, considering factors like power consumption and memory usage This is you: Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a related fieldProficiency in programming languages such as C and C++Experience in embedded systems development with knowledge of microcontroller/microprocessor architecturesFamiliarity with real-time operating systems (RTOS) and embedded development toolsKnowledge of communication protocols (e.g., SPI, I2C, UART) and networking protocols is a plusUnderstanding of hardware design principles is advantageousStrong problem-solving skills and attention to detailExcellent communication skills for effective collaboration and documentationIndustry-specific certifications or relevant experience may be preferredGood German and Englisch language skills What we offer: Future prospects in an innovative, growing, and agile companyAn exciting work environment with diverse career opportunitiesCompetitive, industry-standard / above-industry-standard salaryFlexible working hours and the option for remote work30 vacation days per year and special leave for significant occasions when employed at Xtended EngineeringBonus programs for referrals and employee recruitmentTeam events Xtended Engineering GmbH connects skilled engineers with companies in the industrial and commercial sectors.
Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
YOUR PROFILE Master’s degree in Mechanical Engineering, Civil Engineering, Physics, or Computer Science. Strong programming skills in C# and Python (mandatory). Experience with ASP.NET, Entity Framework, and SQL databases.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
Develop IT-security–focused application software using modern C++ (non-embedded) Implement and integrate a Classroom Training System based on Virtual Battlespace 4 (VBS4), including scenario logic and system extensions Build and maintain distributed simulation environments for multi-user training setups Contribute to software design, UML modeling, code reviews, and unit testing Work with tools such as Git/Mercurial, Qt, and Visual Studio Collaborate closely with simulation specialists and customers in the defence sector Prepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH) Solid knowledge of distributed simulators Experience with Virtual Battle Space 4 (VBS4) In-depth knowledge of object-oriented software development with C++ is an advantage Experience in C++ development outside the embedded domain Professional experience in the defence sector is an advantage Practical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantage Strong analytical skills and the ability to quickly understand complex software systems Solution-oriented, innovative, and independent working style Excellent English skills, both written and spoken By applying through Hays, you will be part of a small, well-fitting selection presented to the client for this position Opportunity to gain valuable professional experience at a globally leading company Professional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviews Benefit from exclusive access to exciting companies and projects in collaboration with Hays as a reliable and stable partner Ihr Kontakt Referenznummer 863812/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt