Computer-Stellen für Building Automation Systems in Berlin

Kennenlernen und gemeinsames Arbeiten an den unterschiedlichsten Bauprojekten.Planung der Versorgung der Gebäude mit Wärme, Kälte, Luft und Wasser, gemeinsam mit Kollegen / Fachplanern.Erstellung von CAD-Plänen (Computer-Aided-Design) in 2D und in 3D – dabei lernst Du moderne Anwendungsprogramme effizient einzusetzen.Berechnungen und Auswertungen unter Verwendung moderner IT.BIM (Building Information Modeling) wird für Dich nicht nur ein Fremdwort sein.Dokumentation von Kapazitäten und Projektfortschritt mittels neuester Steuerungs-IT.Betrachtung der Umsetzung Deiner Planung auf der Baustelle.Guter Realschulabschluss, Fachhochschulreife oder Abitur.Interesse am computergestützten Arbeiten.Räumliches Vorstellungsvermögen und mathematisches Verständnis.Du hast Spaß daran, Neues zu lernen, zeigst Engagement und scheust dich nicht, Verantwortung zu übernehmen.Wir bieten dir eine spannende Ausbildung in einem modernen, zukunftsorientierten Familienunternehmen, mit vielen Vorteilen: Individuelle und intensive Einarbeitung.Offene Duz-Kultur.Abwechslungsreiche Projekte und Einblicke in viele Bereiche.Modern ausgestatteter Arbeitsplatz mit aktueller Software.Sehr gute Übernahmechancen.Ein freundliches und kollegiales Betriebsklima.Zuschuss HVV-Deutschlandticket, Hansefit-Karte/EGYM Wellpass.Teamevents u.v.m.MIT UNS SIEHT DEINE ZUKUNFT PINCK AUS.  

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.

Your Profile - Qualifications  •    Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. •    Strong background in machine learning, deep learning. •    Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision  •    Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). •    Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. •    Full professional proficiency in English is required Preferred Skills •    Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. •    Familiarity with biomedical applications. •    Strong problem-solving skills and ability to work in interdisciplinary teams. •    Excellent communication and documentation abilities. •    Large language modules (plus) What We Offer •    Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. •    Collaborative environment with experts in ML, graphics, and healthcare. •    Competitive salary and benefits package. •    Career growth in a rapidly evolving field.