PUIG Deutschland GmbH sucht in Hamburg eine/n Werkstudent Technical Support & Events (m/w/d) (ID-Nummer: 13696068)
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
YOUR TASKS Design, develop, and maintain full-stack applications (C#, Python, ASP.NET, SQL) to support and improve internal load calculation workflows. Translate technical requirements into efficient, reliable software solutions. Develop optimization tools and simulation software to enhance engineering processes.
Nr. 13869) We´re supporting an international company in the maritime industry in recruiting a Fleet Manager (m/f/d) Mixed Fleet. We are seeking an experienced leader who will take full technical, operational, and commercial responsibility for a modern fleet segment while ensuring top-level safety and quality standards. You´ll be the leader of a team of 10-15 professionals.
As Team Lead for SCADA Software Deployment (m/f/d), you ensure the successful commissioning and handover of SCADA systems in wind farms worldwide. You lead an international technical team and coordinate deployment, support and continuous improvement activities. Your role is essential for enabling reliable data flow, operational readiness and a smooth transition into service operations.
You have good communication and presentation skills, you can explain technical terms in non-technical language Fluent English skills (spoken & written) Nice to have: Certificates: Trainings from SANS / GIAC, OffSec OSIR, HackTheBox / TryHackMe incident response challenges Knowledge of Laravel / PHP.
Collaborate with architects and product owners to ensure secure, reliable, and high-performance releases. Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
As a Network Design Specialist (m/f/d), you will be part of a global team responsible for creating technical network design documentation for onshore wind farms worldwide. The Network Design Specialist reports directly to the Group Lead IT Network Design & Configuration within the Global Project Management Department "IT Network, Security & Access".
As a Network Design Specialist (m/f/d), you will be part of a global team responsible for creating technical network design documentation for onshore wind farms worldwide. The Network Design Specialist reports directly to the Group Lead IT Network Design & Configuration within the Global Project Management Department "IT Network, Security & Access".
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.
You ensure that customers see the most relevant products in the right order – balancing customer needs, business goals, and technical feasibility. We work with over 1 million real-time API calls per hour and a huge amount of data to deliver highly performant and intelligent sorting mechanisms to millions of users.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.