11 jobs found

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries. Software Engineer - Javascript/Scala/Machine Learning Your mission : The IIPP Chair at the College of Management at EPFL Switzerland, is seeking a Software Engineer - Javascript/Scala/Machine Learning to lead the development of a web platform to run the highly-strategic   IPRoduct research project http://www.iproduct.io.The IIPP Chair is the Chair of Innovation and Intellectual Property Policy of Prof. de Rassenfosse. The Chair is part of the College of Management at EPFL. Main duties and responsibilities include : Lead the development of a web platform to run the highly-strategic IPRoduct research project http://www.iproduct.io Your profile : Self-motivated and talented software engineer who holds a master’s degree in computer science or related disciplines Two years of experience in web development, including Javascript/HTML5/CSS Two years of experience in back-end development Strong knowledge of object-oriented and functional programming languages (preferably Scala) Keen interest in algorithms and machine learning Some knowledge of MySQL and UNIX Familiar with continuous integrating and delivery (DevOps) We offer : We offer a competitive salary commensurate with skills and experience, and subject to EPFL pay scale. Flexible working conditions in a highly international and stimulating environment. EPFL is a highly international, world-class engineering university. It offers many CS-related events and training and hosts a vibrant entrepreneurial community. EPFL is an equal-opportunity employer. Candidates will be recruited on merit only.If you are a passionate engineer and you fit the above criteria, we want to hear from you! Start date : To be agreed Term of employment : Fixed-term (CDD) Work rate : 70-100% Duration : 1 year, renewable Contact : Remark : Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

Job Description We are looking for a Software Engineer having a background in micro-service and big data architectures for Analytics solutions. You will join our AI team and work on developing core platform systems that perform massive data analysis by feeding data to AI modules and other services. This is a hands-on position where you will design and build production grade components, while collaborating with our Machine Learning Engineers and multiple cross-functional teams. The position requires a result-oriented mindset, supported by strong experience with big data pipelines and micro-service solutions; any experience with machine learning is a plus. The ability to communicate complicated concepts in simple ways is vital as you will be working in a cross-functional environment. Responsibilities As part of the AI team at Nexthink, you will be responsible for prototyping and deploying novel distributed data systems, as well as making those systems work reliably production: Prototyping architectures, microservices and database schemas in fast cycles of experimentation and consolidation Deploying those features safely in a production environment following our processes Mentoring our Data Scientists on SW engineering, reviewing their work in Python Contributing to the continuous integration development process with best practices, data and code versioning Seniority Level: Mid-Senior Level Function: Engineering Qualifications 2+ years of experience building distributed data systems in commercial environments (IT, finance, business intelligence, analytics). Agile, CI/CD know-how is a must. Worked on data platforms that were deployed in a cloud environment (backend-side). Strong experience with scalable software architecture: micro-services, APIs, container deployment (e.g.: Docker, Kubernetes). BSc in Computer Science (MSc is a plus) Mastery of any OOP language (Java / C++ / C#) Heavy use of Python is a plus Some understanding of basic statistics and ML is a plus Passion for building a system from the ground up; start-up experience is a plus Proven independence and self-drive Fluent in English, spoken and written (French is a plus) The seniority will depend on the level of mastery and experience with big data cloud solutions Additional Information This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration.

Job Description Your role As Digital Workplace Architect you will bring a key contribution in realizing our mission: to provide the most efficient, appreciated and trusted digital workplace to millions of corporate workers. Your job will cover four main aspects: Provide the technical expertise required to build and enhance our Product by working with Product Managers and Developers. Based on your experience, build content packs to help our customers to improve employee experience. Explore and increase awareness around the overall IT ecosystem of workplace solutions that Nexthink is part of, by understanding various technologies (operating system, application virtualization, configuration management, EMM, etc.). Identify how Nexthink can complement and enhance these technologies. Advise the R&D teams with workplace-specific knowledge during the development of our catalog of self-help/self-healing workplace scripts and artificial intelligence solutions. Collaborate with and advise our Solutions Consulting and Customer Success teams during customer engagements. Qualifications Your profile and experience You are extremely passionate about solving challenging, real-life problems. You are a digital workplace expert with strong technical skills, the passion and love to keep up to speed and try out new technologies and a strong commitment to deliver the best digital experience to end-users. Strong macOS management and configuration experience in large enterprise environment. Deep understanding of the Windows operating system and related technology stack, including SCCM, Active Directory, Intune. 5+ years as Workplace Architect, Build Architect or a similar role in a large IT organization. Outstanding communication and teamwork skills, and social awareness. Ability to drive complex projects with minimal oversight, delivering results incrementally and pragmatically. Demonstrated ability to collect user feedback and understand customer pain points. Enthusiasm for working in an international, collaborative and fast-paced environment and learning new technologies. Professional-level English, spoken and written. Additional Information This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration.

Work somewhere with the creativity of a scaleup and expertise of an enterprise. We’re looking for an extraordinary Machine Learning Engineer to join our Swiss team. You’d need a strong computational background (especially in the Machine Learning field), and at least two years of industry experience, as well as world-class team management skills. If you’re successful, you would: Contribute to machine learning research Formulate and run experiments and improve algorithms based on results Contribute to the company's culture through code reviews Carry out mentoring, research and design discussions Review documents, designs and code done by others and provide constructive feedback Continuously develop your own machine learning and engineering skills, and help others improve theirs Work with ML engineers (also remotely) to migrate research prototypes to production What You Have Computer Science Bachelor Degree/Statistics/Maths or equivalent Python programming proficiency Experience with Python ML/DL libraries and frameworks (es. scikit-learn, TensorFlow, Keras, Pytorch) Deep learning architectures experience Strong knowledge of designing end-to-end ML flows Who You Are Able to understand and communicate technical concepts clearly and effectively A collaborative worker, who can enhance performance with a proactive, problem-solving attitude Able to work on multiple projects, under deadline pressure Excellent communicator Fluent English speaker Working at iGenius With a growing team in four offices—Milan, California (San Jose), London and Switzerland —iGenius is a scaleup that thinks like an enterprise, where talented innovators can thrive and people come first. That’s not all.Perks Learning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials Smart Working. Trains can be a drag, so we let our team members work at home when they can Salary is based on experience, and topped up with other bonuses

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries. Senior Data Scientist (W/M) Your mission : In this role, you will apply your practical experience in mining and analyzing unstructured data, your deep understanding of machine learning algorithms, and your willingness to write codes to explore problems and understand data, all while solving challenging real-world problems at a large scale. You will work hand-in-hand with academic experts in domains ranging from personalized health and personalized medicine, earth and environmental science, smart manufacturing (reinforcement learning), computational social science and economics, and digital humanities. Main duties and responsibilities include : Research with labs at EPFL, ETH Zurich and national labs (EMPA, EAWAG, PSI and WLS) Industry research projects Your profile : The ideal candidates are researchers who are able to work independently, who are proactive and take ownership. We are looking for multidisciplinary machine learners with sharp skills in one or more of the following fields: Deep Learning, Bayesian Modeling, Natural Language Processing. We also expect that candidates are proficient inPython/R, Scala, C/C++ About us The Swiss Data Science Center is a joint venture between EPFL and ETH Zurich. Its mission is to accelerate the adoption of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector. In particular, it addresses the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The center is composed of a large multi-disciplinary team of data and computer scientists, and experts in select domains, with offices in Lausanne and Zurich www.datascience.ch Applications via email or postal services will not be considered. We offer : A stimulating, startup-like, cross-disciplinary environment in a national center part of 2 leading universities Opportunities for turning research into impactful solutions Excellent ties to research groups worldwide, both academic and industrial Access to state-of-the-art infrastructure and resources Start date : As soon as possible Term of employment : Fixed-term (CDD) Work rate : 100% Duration : 1 year, renewable Contact : Please contact Fernando Perez-Cruz (Fernando.perezcruz@sdsc.ethz.ch) for questions about the position (no applications). Remark : Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

SwissBorg is a Swiss fintech company headquartered in Lausanne, Vaud, Switzerland, decentralised to the world. It is the first Swiss crypto-wealth management ecosystem based on the blockchain, developed by a team of fintech experts. Due to the growth of our business, SwissBorg is offering an opportunity for a Junior Business Strategist to join our team in Lausanne. If you are motivated, creative and interested in reshaping the new financial era, it is your chance to apply! The successful candidate should be proactive, capable of critical thinking, trusting data more than fictions and passionate about technology and its future. The goal is to provide the executive team with information gleaned from studying relevant data collected inside and outside of the company, with the end goal of creating a performance index for blockchain fintech. What you'll do: Create a Competitive Intelligence report (Marketing, Product, Tech, Financing, etc...) Research and gather data to develop well-informed strategic plans Create indicators to Benchmark SwissBorg versus peers Create a performance index for blockchain fintech Assist the governance team in their daily tasks when necessary Who you are: Young professional with Impeccable skills in Statistics Python expert Agile and proactive with very good written English Clear, concise and extremely accurate Person with a Scientific approach and a keen interest in Blockchain Detail-oriented person Knowledgeable or familiar with the crypto industry We offer: Freedom to create, build the brand and the company of your dreams Handsome bonus based on our meritocratic system. We believe in you! It’s your opportunity to step up, grow fast, and work with an amazing decentralised team of experts in crypto, investments, coding, AI, psychology, and business; Excellent package; fast progress. Want to help millions of people control their wealth? Want to be a part of a booming industry, a kick-ass early team, create the brand, shape the product, define the company and craft its culture? Then we want to hear from you!

Headquartered in Switzerland with additional offices in Toronto and London, SwissBorg aims to fundamentally change the way individuals manage their wealth. As a product obsessed team, we believe that advanced technology combined with an intuitive user experience will empower people to invest with more freedom, confidence, and belief. In 2018, we successfully raised funds from over 23,800 global participants who share our vision of a wealth management industry with more community-centric values. We are now working towards the next phase of disruption. In Q4 of 2019, individuals across the globe will have the opportunity to purchase digital assets such as Bitcoin at the best prices, and become members of our ecosystem to unlock first of its kind investment features. Your Mission: Data sits at the heart of what we do, and you’ll play a crucial role in helping our teams to build personalized customer experiences, track metrics, optimize processes, enhance our products, and everything in-between. As a data scientist, you will be one of the first members of our growing world-class data team with an impact across all business lines. We’ll give you the tools and autonomy to build the data structures & solutions that will fundamentally underpin all operations at SwissBorg. If you’re looking to explore uncharted territory in the digital assets space with a team that thinks long term, has an agile mindset, and wants to challenge the old-school money managers let’s chat! What You’ll Be Doing Develop statistical analysis, and models and apply them to solve real problems Build and deploy algorithms for anomaly detection, forecasting and churn prediction based on users behavior Work with our product & marketing teams to guide product & marketing decisions through data-based recommendations Define and report on metrics and KPIs Automate analysis and data pipelines while ensuring our data infrastructure is set up for scale What You Might Look Like Masters or PhD degree in math, statistics, physics, computer science, or related fields Expertise in a variety of data manipulation tools and programming languages (Python, SQL) Strong experience and theoretical knowledge in machine learning, prediction algorithms for classification and study of time series Track record in product analytics and experience to make decisions autonomously Outstanding communications and collaboration skills working cross-functionally Past experience building and working with AWS as well as building and maintaining databases Knowledge of Keras, Tensorflow library, SageMaker, and SDK a plus Benefits Being part of the lifetime opportunity to launch a product at scale Get in on the ground floor as a pioneer in the fast paced fintech/blockchain space Salary and competitive bonus based on our meritocratic system Continuous opportunities to learn, grow fast, and create alongside an experienced team of financial experts, engineers, scientists, designers, and marketing gurus Excellent benefits (health, etc…) Standard 5 weeks vacation Centrally located office in a beautiful historic building.

In your role as a Consultys Compliance Expert, you are supporting our local clients and team by: Roles and responsibilities: Conception, planning and performing of Computer Systems Validation (CSV) in the regulated environment (Pharma, Medical Devices, Biotech) Advisory and support of application owners to build and maintain GxP conform systems Support and consulting during projects handling GxP critical computer systems Implementation of qualification / validation activities within projects of new and exist- ing computer systems according to our client requirements Conception and implementation of Raw-Data-Handling systems and solutions (Data Integrity) Computer systems according to internal Software Development Lifecycle Performing internal and external CSV trainings Qualifications: University degree in Informatics, Quality, Engineering or another relevant discipline - At least 2-3 years of experience in validation of GxP relevant IT systems such as ERP, MES, LIMS or Quality Systems - Working knowledge of national and international regulations and standards, eg. GAMP5, ISO 9001, ISO 13485, ISO 62304, FDA QSR, 21 CFR Part 820, Part 11 - Analytical and structuRAIN working style; strong attention to detail - Ability to effectively work as part of a multidisciplinary, international team Hands-on personality, with flexibility and dedication to maximize our client's value - Good verbal and written communication skills in English, German language is a plus You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.

Roles and responsibilities: Writing Quality risk management (QRM) concepts with the corresponding SOPs, templates and tools for GxP Engineering / Lab environments Support our team and Senior Experts in harmonization of (Global) Quality Management Systems Execute Gap Analyses of the Q-Manuals against relevant Guidelines and Regulations Developing and implementing QMS (Policies/SOPs) improvements of our clients Writing of Global Quality Standards and Review incl. correction of SOP landscapes Ensure complied GxP documentation systems (incl. IT systems) of our clients Conception and Implementation of Supplier Quality Agreements Handling of Change Control Requests, Non-Conformities and CAPAs, ensuring their adequate and timely closure from QA perspective Support tech transfer and analytical method transfer activities Qualifications: Master’s or Bachelor’s degree in Pharmacy, Bio-Engineering or another relevant life science discipline Preferably at least 1-2 years of experience in a GxP environment or regulatory agency, include direct contact with regulatory agencies Familiarity with Swiss and (if applicable) EU, U.S. (FDA) legislation procedures and guidelines governing pharmaceutical products; knowledge of the quality GxP framework Good understanding of IT systems and data modeling incl. process design (MS Visio, MS Office, SAP, etc.) Strong attention to detail; proven ability to successfully handle conflicting priorities Ability to communicate well verbally and in writing is essential Demonstrated diplomacy and assertive skills in dealing with internal and external parties A mature and disciplined approach to work is essential Pronounced client focus and business orientation Strong organizational and business planning skills Proficient use of MS Office suite and relevant database application Fluency in German and English is requiRAIN, French or Italian would be a plus Hands-on personality, with flexibility and dedication to maximize our client's value You can differentiate Consultys from the pack. Whether you are a graduate or an experienced professional, if you feel you would thrive in our environment, we would be pleased to hear from you.

Are you about to graduate and would like to become a data science professional? Come join ELCA’s competitive Data Science Program! In this role You will actively participate in innovative data science projects with our main clients in Switzerland. Examples of areas you might work on: Natural Language Processing and Predictive Maintenance. You will learn through concrete projects, work closely with our clients and become a data science professional You will develop your skillset in a highly sought-after field and get exposure to what the market needs You will actively participate in knowledge and experience sharing meetings with the team What we offer A permanent contract with a three-year artificial intelligence program in which participants will integrate several industrial projects in the data science and data engineering fields Relevant trainings will be offered as part of the curriculum A very pleasant working environment in a dynamic and highly motivated data science team Coaching by our data science lead experts About your profile You are a strong fresh master’s graduate in the data science, computer science, communication systems or equivalent fields, or you have a master’s degree in one of these fields and have one or two years of professional / research experience. You have successfully taken at least one machine learning and data analysis courses Certifications from renowned online courses such as Stanford’s are valid Minimum required GPA in the relevant courses >= 5/6 Minimum required GPA in projects (semester and Master thesis) >= 5/6 Your team spirit is amongst your strongest qualities Your location base: Lausanne but you must be willing to travel to Geneva or Bern on a regular basis You must submit your diplomas and grades with your application Fluency in English and in either French or German