Computer Futures sucht in Hamburg, Hannover, Berlin, Stuttgart, Köln, Düsseldorf, München, Frankfurt eine/n SAP Integration-Entwickler (m/w/d) Fokus: SAP CPI (ID-Nummer: 13458466)
Computer Futures sucht in Hamburg eine/n Senior .NET Fullstack Developer (m/w/d) Digitalisierung & DevOps (ID-Nummer: 13458419)
Computer Futures sucht in Hamburg, Hannover, Berlin, Stuttgart, Köln, Berlin, Düsseldorf, München, Frankfurt eine/n Senior Java Fullstack Developer (m/w/d) (ID-Nummer: 13458365)
COMLINE Computer + Softwarelösungen SE sucht in eine/n Sales Mitarbeiter (m/w/d) - Telefonakquise Neukunden IT/SAP (ID-Nummer: 13724983)
Computer Futures sucht in Hamburg, München, Frankfurt, Düsseldorf, Köln, Stuttgart, Oldenburg, Bremen, Dresden, Berlin eine/n Manager / Senior Consultant SAP EWM / WM (m/w/d) (ID-Nummer: 13764700)
Computer Futures sucht in Hamburg, Hannover, Berlin, Stuttgart, Düsseldorf, Köln, München eine/n SAP Business Data Cloud / Datasphere Solution Architect (m/w/d) deutschlandweit (ID-Nummer: 13458441)
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 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.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
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.