Skills & Attributes Strong interpersonal skills and customer‑driven mindset.Strategic thinker with strong business acumen and commercial agility.Impactful communicator with the ability to lead, motivate, and influence teams.Results‑driven leader with a proactive, energetic, and collaborative approach.Excellent computer skills (MS Office, Word, Excel, PowerPoint).In return, we offer We believe there is always a better way. Open for change and feedback is what defines our culture.
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.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
By operating our own systems, our clients benefit from end‑to‑end consulting, professional planning, and efficient execution of implementation projects.We look for a motivated and eager to learn colleague who: Has completed studies in computer science, software engineering or a related field (Bachelor / Master);Has practical experience in software engineering, object-oriented programming and microservices;Has strong skills in Python, JavaScript, and NoSQL;Has additional skills, such as PowerShell, Angular, SQL and HTML, which are good to have;Is proficient with agile methods, documentation-driven-development, test-driven-development, continuous integration, deployment and delivery;Demonstrates a strong will and ability to learn and quickly apply new or unfamiliar technologies;Has strong problem-solving skills and analytical thinking;Is fluent in English (written and verbal) with a good ability to communicate ideas and concepts in a clear way.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Make an impact: Development of our Customer Relationship Management (CRM) and Supplier Relationship Management (SRM) based on Dynamics 365 OnlineDevelopment of further business applications based on different modular elements of the MS Cloud Stack (Power Apps, Power Automate, Azure etc.)Working with state-of-the-art tools and development methodsCo-determination and design of our development methodology, release processes and agile approachSupport of our development team and management of external developersEffective collaboration with our CRM / SRM team and surrounding projects and product teamsActive design in solution design from the technical requirement to the finished solution What makes you stand out Education: successfully completed education in (business) computer science or a comparable education levelAt least 5 years' experience in the development of .NET, Dynamics, and Azure cloud components (C #, Javascript, DevOps, Visual Studio etc.)
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
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.
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.