6 jobs found in Saxony

In your new role you will: Define and document software structure   and behavior in order to   enable software engineering and delivery   based on known functional and non-functional requirements Use architecture styles, object oriented analysis and software design patterns to   design client and server side software components Drive   internal and cross site development of platforms   and frameworks Collaborate with global interfaces   to achieve harmonized solutions Be open for   active and passive knowledge exchange   within the team Your Profile As Software Architect (f/m/div) you are   a true team player . You coordinate your work with colleagues in the diversified global team and   regularly share your insights   with them. Furthermore you have   strong interpersonal skills   and drive ideas to their full implementation and application. With your strong communication skills (English and German) you are then able to develop a great network across all levels of employees. You are best equipped for this task if you have: A   University Degree   in   Computer Science   or   Information Technology Minimum   3 years of experience   in the   IT industry   and at least 1 year of experience in the role as   Software Architect Excellent technology and subject-matter expertise   in certain fields such as   Microsoft technologies, database, object oriented programming, middleware,   etc. Ideally first knowledge in Factory Integration Profound experience and advanced skills in   working with diversified global teams I’m very proud to be working in such a cutting-edge environment and on critical projects often involving governments and intelligence agencies. Roland Ebrecht Software Engineer, Digital Security Solutions, Infineon in Augsburg Find out more Benefits What we offer you in Dresden This is the world’s first high-volume production site for power semiconductors on 300 mm wafers.

Evotec is a leader in the discovery and development of novel small molecule drugs with operational sites in Europe and the US. The Company has built substantial drug discovery expertise and an industrialized platform that can drive new innovative small molecule compounds into the clinic. In addition, Evotec has built a deep internal knowledge base in key therapeutic areas including neuroscience, pain, inflammation, oncology, metabolic and infectious diseases. Leveraging these skills and expertise the Company intends to deliver superior science-driven discovery alliances with pharmaceutical and biotechnology companies. At our subsidiary in Goettingen, the Bioinformatics and Biostatistics department is seeking a highly motivated and dedicated Machine Learning Scientist (f/m/d) full-time and permanent to join the newly formed machine learning team. Your key responsibilities Design and implement machine learning algorithms tailored for drug discovery Handle a plethora of data sources (including transcriptomics, proteomics, metabolomics, image data, and information on chemical compounds) Collaborate with colleagues which are experts in bioinformatics or drug discovery and with scientists working in the lab Communicate and present results internally and externally Your qualifications M.Sc. or Ph.D. in computer science or in a related STEM field Strong programming skills in at least one programming language (preferably in Python, R, or any C derivate) Basic mathematical knowledge required to read research articles in the field Experience with either traditional machine learning or deep learning algorithms is a strong plus Drug discovery or medical experience is a plus Excellent communication skills with the ability to interact professionally with all levels of staff, collaborators, and customers Experience in working on and with interdisciplinary teams Fluency in English Our offer A permanent position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community Highly responsible tasks, quick decision-making and flat hierarchies A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork Capital-forming benefits, holiday pay and annual bonus payment depending on performance To apply, please click on the “   Apply   ” button and provide your application documents (CV and cover letter including earliest possible start date and salary requirements). We are curious to getting to know you and are looking forward to your application

Join us and let us work together to create AI-assisted process optimization and support our team beginning immediately (unrestricted full/ part time) and with full commitment as a   Data Scientist for Process Intelligence   in Dresden. You will be familiar with functional programming and Streaming Technologies, and your task will be both to implement data analysis pipelines in our Detact applications and to engineer self-learning models and software. Our globally active customers’ exciting high-end industrial processes await you, along with an international, 20-person team of developers, mathematicians, and engineers. We strongly believe that we can make production processes more intelligent and efficient through automated data analyses. Consequently, we are breaking new ground today in close cooperation with our customers and partners. Your new challenge: Implementation of data analysis pipelines using functional programming and streaming technologies and its implementation in web-based applications by Detact Development of intelligent models and software for real-time analysis, prediction and recommanded action / self-regulation of production processes Occasional presentations of results and procedures to external and internal stakeholders Dealing with customer-specific production processes and their logical connections. Exchange with technical experts and system suppliers What you will need: Solid programming skills in Scala or a strong Java background with an interest in learning Scala Frameworks like Akka, Akka Http, Akka Stream or libraries like Alpaca are well known to you Affinity for functional programming and algorithmics Ability to express mathematical and algorithmic ideas in scripting languages like R or Python Quality awareness and careful work distinguish you Communication competence and the desire to put yourself in the conditions of complex production processes Your career prospects: Creative freedom to develop independent solutions that make our applications even more intelligent and powerful Genetic Algorithms, Combinatorial Optimization, Swarm Intelligence, Deep Learning, Anomaly Detection, Dimension Reduction, Mathematical Statistics and Explainable Artificial Intelligence (XAI) Wide range of training opportunities in the cutting-edge technologies Cooperation with well-known, leading and globally active companies Excellent working atmosphere in a growing and international team with great colleagues at an extraordinary creative location, the Kraftwerk Mitte Dresden Above-average remuneration and profit sharing High flexibility at the workplace with the option of a home office Opportunity for phd through our close cooperation with the TU Dresden KI Coding Challenges, Kaggle Challenges, openAI gym Our tools and technologies: Scala / Java / Java EE / Javascript / HTML / Kafka / Spark / Akka / Alpakka / Cassandra / Kafka / Maven / SBT / Docker / Git / Kubermetes Angular / GitHub / JSon / YML / HOCON / Keycloak Python / R / Shiny / Jupyter Notebooks Confluence / Jira / Scrum / Design Thinking Linux / Windows / IOS / Android Convinced? Then please send us your meaningful documents to karriere@symate.de. We will be happy to answer any questions regarding the call for proposals by phone +49 351 8999-4680.

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming. Job Description The Data Services team is seeking a Director of Data Engineering with a passion for managing technical, data-heavy engineering operations. As an experienced leader, the qualified candidate will have had significant engineering experience with technical depth and breadth. This person will be responsible for overseeing all engineering related activities of the team, ensuring proper execution of duties and alignment with the business’s overall vision. The person will be a seasoned organizational and people leader, with deep understanding and experience of data architectures, information systems deployment and storage techniques and information management. The Director of Data Engineering will work with cross functional teams across the company to provide advanced data management and analytical systems and services. The ideal candidate will not only have broad data engineering experience, but will be passionate about emerging technologies, engineering and technology best practices. He/She will also be an astute mentor, with the ability to balance appropriate delegation with timely, personalized mentorship. The candidate will be able to report effectively, both upward and downward, across the organization. Primary Responsibilities Cultivate a customer-centric, results-driven data engineering organization Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc Operate as a thought leader with the ability to guide, influence, and inspire peak performance across the data architecture design and ETL functions Lead large-scale integration and replatforming efforts with CRM, Email Service Provider (ESP), and Customer Engagement Platform (CEP) systems – both internally and externally – to enhance the data and marketing platform infrastructure Collaborate with Data Science, Marketing Science and Data Product teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights Work strategically to align data assets, storage, and computation/query layers to support long-term data platform goals, help define data models, publish metadata, guide best practice ETL standards Make sound architectural decisions across relational, multi-dimensional, distributed and object-based storage platforms Mentor junior-level engineers and participate in code reviews Execute proof of concepts to assess strategic opportunities and future, next-generation data processing and integration capabilities with a focus on recommending scalable, elastic and extensible solutions that yield positive ROI Required Skills Proven ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management requirements of other organizational units Ability to collaborate with business unit leadership as well as individual members of the team with strong empathy, and ability to creatively problem solve 8-10 years of experience in data engineering and data management 4-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark, Presto, EMR) Absolute fluency in SQL Hands-on experience in designing and managing data lakes, data warehouses and downstream marts Hands-on experience with AWS ecosystem (EMR, EC2, S3, Lambda, Dynamo, Glue, Redshift, EKS, RDS) Exposure to modern development approaches (containerization, microservices, CI/CD) Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL) Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc) Solid understanding of SOA design and implementation Exceptional analytical, quantitative, problem-solving, and critical thinking skills Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities Bachelor’s degree or equivalent experience in Computer Science, Information Science disciplines, or comparable STEM related degree Desired Skills Experience with Databricks/managed Spark Experience with Snowflake Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps) Experience with GCP tools (BigQuery, GCS, DataFlow, PubSub, Composer) Exposure to graph processing frameworks (Neo-4j, Neptune, DGraph) What happens next? If you are interested in this opportunity, please apply below and we will review your application as soon as possible. Please note that due to the high level of applications we receive, it is not always possible for us to respond to each applicant in person. Should your profile fit this open position we will contact you within approximately 4 weeks. You can update your resume or upload a cover letter at any time by accessing your candidate profile. C   ondé   Nas   t is an equal opportunity workplace. Duties and responsibilities may be adjusted based on years of experience. Salary is also commensurate with experience

In your new role you will: Advance your expertise in   artificial neural network architectures ,   learning techniques   and their   neuromorphic implementation Learn and master   neuromorphic circuit design   approaches on   BiCMOS and CMOS technologies Develop neuromorphic concepts for the   monitoring and signal processing in radar systems Enhance your knowledge upon completion of additional   PhD modules   offered by university Document your results by writing and submitting your   PhD thesis Learning outcomes: Build up R&D skill sets, accumulate   industrial experience   and   knowledge   with focus on neuromorphic circuits for radar monitoring and signal processing Integrate   university learning   with   actual workplace application A platform to heighten   technical   and   soft competencies   through discussions and presentations to team Your Profile A doctoral student is a research enthusiast, …whose interests are scientific research combined with the passion for Infineons’ innovative products and applications …who enjoys working in an industrial environment in combination with an Infineon partner university …who appreciates open communication and the contribution of an international environment …and is thus an excellent candidate for an industrial career after completion of their thesis You are best equipped for this task if you have: A   Master degree   in   Electrical Engineering, Computer Science   or   Physic s First experience in   Artificial Intelligenc e and   Machine Learning   using related tooling frameworks (e.g. Tensorflow, PyTorch) Knowledge on the concepts of   artificial neural networks   (ANN) and   neuromorphic   implementations   of ANNs. Being familiar with   spiking neural network s is of benefit. Hands-on experience in   digital design , possibly even   analog circuit design Keenness to work in a highly motivated international team and in a challenging environment Benefits What we offer you in Dresden This is the world’s first high-volume production site for power semiconductors on 300 mm wafers

Ihre Aufgabe Als Machine Learning Engineer (m/w/d) arbeiten Sie in einem agilen Umfeld an der Realisierung von Kundenprojekten unterschiedlicher Größe. Sie beraten Kunden bezüglich der Technologieauswahl für konkrete Projekte und haben ein waches Auge für Problemstellungen in denen ML-Ansätze nutzbringend eingesetzt werden können. Im Detail erwarten Sie folgende Aufgaben: Vorverarbeitung von Daten (Bereinigung, Transformation, etc.) Komplexe Datenanalysen, Datenvisualisierung Anwendung von Methoden des maschinellen Lernens Training, Vergleich und Auswahl von ML-Modellen Quantitative und qualitative Fehleranalyse sowie iterative Optimierung Operationalisierung von ML-Modellen (Deployment, System-Design) Ihr Profil Sie haben ein Studium einer geeigneten Fachrichtung abgeschlossen, z.B. Data Science, Machine Learning, Informatik, Mathematik oder Statistik. Alternativ besitzen Sie mehrjährige Berufserfahrung in einem der Bereiche: Machine Learning, Big Data oder Datenbanken. Darüber hinaus punkten Sie mit folgenden Fähigkeiten: Sie haben Erfahrung in der Erstellung komplexer Softwaresysteme, die erfolgreich an Kunden ausgeliefert wurden Sie sind Experte in der Anwendung einer oder mehrerer der folgenden Technologien: Python, R, Scala, SQL, Hadoop, Spark, Kafka in der Erstellung von Workflows mit großen Datenmengen und/oder ML-Modellen in Produktion unter Verwendung verteilter Systeme und Big Data-Konzepten/-Technologien sind Sie erfahren Sie haben den Anspruch an sich selbst ein T-Shaped Professional zu sein und streben deshalb beim Wissen und Können sowohl die Breite als auch die Tiefe in den Fokus-Themen an sehr gute Deutsch- und gute Englischkenntnisse runden Ihr Profil ab Über uns Wir, die   T-Systems on site services GmbH , verändern gemeinsam mit unseren Kunden deren digitale Welt und verhelfen ihnen damit zum geschäftlichen Erfolg. Als 100%ige Tochter der T- Systems International GmbH verfügen wir über Technologie-Know-how in modernen Software-Architekturen, Frontend-Technologien, Cloud sowie Big Data. In unseren Teams, im Management und in der Zusammenarbeit mit unseren Kunden nutzen wir agile Methoden, wie Management 3.0, Lean Startup und Design Thinking. Bei uns wird Agilität mit den damit verbundenen Werten täglich gelebt. Gemeinsam mit Ihnen wollen wir den Weg in die neuen, digitalen Arbeitswelten gestalten.