Your mission : Advise and support industrialization projects: understand needs, define technical solutions, carry out feasibility studies, estimate costs, etc. Build and deploy the technical architecture: choice of products, integration into the customer ecosystem, drafting of DAT, etc. Define, maintain and disseminate best practices for using development tools and rules to ensure the maintainability of solutions. Be the guarantor of the CI/CD deployments of the project and the infrastructure. Ensure the technological watch on the tools and the evolution of the practices. Required profile : Higher education in computer engineering (Master, Bachelor HES or equivalent) Minimum 2/3 years of experience in a similar role. You master the tools: Jenkins,  GIT, Docker, Kubernetes, Ansible, Terraform  . You master virtual infrastructures: VMware, Azure,  Amazon  . You master metrics and logs centralization systems (Datadog,...

Data is the worlds most valuable resource and the backbone of the digital economy, however data's full potential is not unlocked. Did you know that only 1% of worlds data is actually being analysed? We are revolutionising the way the world uses and benefits from its data and you can be part of this exciting journey! Description We are looking for a   DevOps Software Engineer (flexible working hours and remote work possible)   for our team in Zürich, Switzerland. You will join a multinational agile development team working on the Continuous Integration, Testing and Delivery infrastructure. You will be working with state-of-the-art technologies (Omega|ml, Docker, K8S, Gitlab CI/CD, Rancher, Azure), and you will support continuous improvement by investigating and proposing alternatives with a pragmatic approach. You have a   strong background in development , and you are (or willing to become) proficient with Python. Responsibilities Automate deployment,...

Your Tasks Develop data analytics concepts including suitable data analytics techniques to solve business proposals in an optimal way Align the data analytics concept with relevant stakeholders and development partners Serve as a gatekeeper to organization-wide data Define extract, transform & load (ETL) processes for different data sources Perform data cleaning and execute initial consistency analysis Identify, analyze, and interpret trends or patterns in complex data sets Prepare data and logic to fulfill defined use cases Close collaboration with Solution Architect Your Profile Master in Computer, Data or, Information Science or similar 3+ year’s experience as a Data Analyst and/or Scientist Proven track record of successfully conducted data analytics projects Affinity to digitalization (Digital Transformation) Cross-functional understanding, able to effectively work in a matrix organization Solid use of...

Roivant is a global biopharma company, headquartered in New York, that aims to improve health by rapidly delivering innovative medicines and technologies to patients. We do this by building Vants – nimble, entrepreneurial biotech and healthcare technology companies with a unique approach to sourcing talent, aligning incentives, and deploying technology. At Roivant, we will give you the resources and freedom to tackle some of the most important and challenging problems in healthcare. For our Swiss office in Basel, we are looking for a Machine Learning Research Associate (w/m/d) Job summary: Work with a multi-disciplinary team (chemists, biologists, biophysicists) to discover novel medicines for challenging disease targets Participate in drug design meetings, bringing specific design ideas and data to influence decisions Build state of the art machine learning infrastructure and workflows for molecular design Apply machine learning techniques to...

At Databricks you will work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us daily with interesting new big data and AI use cases. As a Big Data Solutions Architect at Databricks, you will report directly to the Manager, Resident Solutions Architecture. You will shape the future big data and the machine learning landscape for leading Fortune 500 organisations. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, for example implementing pipelines from data engineering through model building and deployment. A successful Big Data Solutions Architect is curious and excels in collaboration. As part of joining Databricks, you will have a direct channel to the developers of Apache Spark™, Delta Lake, and MLflow, and the opportunity to...

Job family: EngineeringBusiness area: HydroContract location: Vevey, VD, CHWorking location: VeveyLocation type: Office Location / Office-basedContract type: Permanent Full-TimeJob description: We are a worldwide leading supplier of electromechanical equipment and services for hydropower plants. Water stands for sustainable energy production with natural, renewable resources. We offer our around 250 employees in Vevey and Kriens challenging jobs on high-quality products. For our site in Vevey, we are looking for our future Data Scientist 100% in the Research and Development department. Your mission : Develop models combining physics and data to predict the behavior of hydropower assets and detect anomalies, in close collaboration with experts from the Technology Organization Develop methodologies for the optimization of energy production and maintenance of assets in hydropower plants Conduct and manage studies combining operation data, environment data and...

Responsibilities Data science and data engineering for global digital marketing, advertising, social media, digital channels, sales etc. Data gathering and transformation to provide input for dashboards, advanced analytics models (both descriptive and predictive) and marketing automation tools Merge internal and external data sources Define, build and operationalize advanced analytics models (segmentation, propensity models: cross-sell, up-sell, churn prevention,next best action/offer recommender) Build interactive dashboards, web applications, and ad hoc reports Anforderungen Requirements Master degree in mathematics, computer science, data science or similar Multiple years of experience in data science and data engineering working with large data sets Several years of industry experience Strong knowledge in machine learning and deep learning models Experience in designing dashboards, reports and scorecards Experience with Data...

Company Description Spiden is a Swiss medtech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health. We are looking for a  Machine Learning Engineer  to build and maintain deep learning models alongside active research initiatives. Activities: Build novel deep learning models along side active research and data science teams Engineer machine learning systems for speeding research iteration cycles Qualifications and Skills: BS degree in Computer Science, Computer Engineering or related technical field, or equivalent practical experience 3+ years of software development experience with fluency in Python 3+ years of experience with deep learning frameworks, Tensorflow or Pytorch Experience working with two or more of the following: Distributed cloud training, cloud MLOps pipelines, GCP, AWS...

This master’s is to help further our work on intelligent vision system. Specifically, in this work the aim is to use machine learning and computer vision techniques to improvement the accuracy of the prediction of features by investigating spectral and/or temporal affects. Your mission Your mission will be to use state-of-the-art computer vision techniques on database collected to improve the accuracy and robustness of the heart rate predictions and secondly to collect a database at infrared wavelength which would allow this technique to be used 24 hours. The candidate is expected to present their results at the end of the project, which will last a minimum of 6 months. Your profile The candidates are expected to have the following profile experience with deep learning platforms (e.g. Tensorflow and PyTorch) familiar with signal processing: missing data, filtering, etc. familiar with computer vision: face and facial landmark detection, tracking,...

You work in Chur, The Circle / Zurich, St. Gallen or in your home office. Attractive and flexible full-time and part-time models are open to you."What makes us unique: team spirit and an entrepreneurial spirit."At Inventx you will help shape the digital transformation in the finance and insurance industry. At the interface between IT and banking / insurance, you work with us to ensure that our customers can rely on their IT infrastructures around the clock and are enabled to digital innovation. You are an enthusiastic team player and you put your heart and soul into the automation of highly available and complex cloud system management solutions. As an innovative DevOps engineer, do you enjoy working in agile environments? Then we look forward to your application. Creative freedom Integration of customer-oriented system management solutions into Inventx's own community cloud Creation of technical concepts, design principles and...