9 Machine Learning jobs

Wir sind die führende Dienstleisterin in der Schweiz für Daten rund um das Tier und den Pflanzenbau. Zur Erweiterung unseres Teams im Geschäftsfeld Daten suchen wir einen erfahrenen, talentierten und vielseitigen Data Scientist 80%-100% Deine Herausforderung: Du bist mit Informatik, Datenbanken, strukturierten wie unstrukturierten Daten sowie komplexen Schätzverfahren vertraut. Du hast Erfahrung in Datenverarbeitung, -analyse und -visualisierung mit R (dplyr, data.table, ggplot2, e1071, caret, uam.) und/oder Python (pandas, scikit-learn, matplotlib, numPy, uam.). Du kennst dich aus mit MS-SQL und gGIS. Du hast bereits mit grossen Datensätzen zu tun gehabt. Verfügst du allenfalls auch über Erfahrung mit biologischen und epidemiologischen Daten? Sind dir gesunde Tiere und sichere Lebensmittel ein Anliegen? Du möchtest Wirkung erzielen und bist motiviert deine Kompetenzen in den Aufbau eines Geschäftsfeldes einzubringen. Deine Motivation sich mit vielen neuen Fragestellungen auseinanderzusetzen, profunden Kenntnisse, Kreativität und Engagement tragen massgeblich zu unserem Erfolg bei. Du verfügst über einen Hochschulabschluss mit Master oder gar Promotion und hast einen ausgewiesenen Track Record. Dein Benefit: Eine fordernde, kreative R&D Aufgabe in einer erfolgreichen und bedeutenden Schweizer Unternehmung. Die Chance dich in der Entwicklung neuer Datenprodukte und Services, zu Gunsten der Wertschöpfungsketten tierische Landwirtschaft und Heimtiere zu engagieren. Ein dynamisches, durch Innovation geprägtes Umfeld, in welchem du deine Stärken sowie deine gewinnende Art täglich neu unter Beweis stellen kannst. Ein engagiertes, qualifiziertes und mehrsprachiges Team freut sich auf dich. Die Arbeitssprachen sind Deutsch und Englisch, Französischkenntnisse sind ein Plus. Gleitende Arbeitszeiten, fortschrittliche Anstellungsbedingungen und attraktive Lohnnebenleistungen runden unser Angebot ab. Arbeitsort: Bern-Wankdorf. Haben wir dein Interesse geweckt? Dann freuen wir uns auf deine vollständige Bewerbung! Identitas ist ein "equal opportunity employer". Für weiterführende Informationen wendest du dich bitte an Dr. Stefan Rieder, Unternehmensentwicklung, Tel.: +41 31 996 81 83. Deine Bewerbungsunterlagen sendest du an hr(at)identitas.ch. **** We are the leading company in Switzerland for data recording in the animal and plant sector. To strengthen our business area in data value creation we are looking for an experienced, talented and versatile Data Scientist 80-100% Your challenge: you are familiar with IT, databases, structured and unstructured data as well as complex prediction analyses. You are experienced in data handling, -analytics, and -visualization with R (dplyr, data.table, ggplot2, e1071, caret, etc.) and/or Python (pandas, scikit-learn, matplotlib, numPy, etc.). You are well versed with MS-SQL and gGIS. You do know about how to handle massive real-world data. Maybe, you are also an expert regarding biological and epidemiological data? And besides, do you care for healthy animals and safe food? You are a motivated, dynamic person, looking for a meaningful job with impact. You wish to contribute to the development of a business area in a SME. Your profound skills, humor, creativity and commitment to the job are key factors for our success. You dispose of a master's degree or even of a PhD, and an excellent track record. What we offer: a challenging, meaningful job in R&D within a successful, unique Swiss company. The opportunity to develop data products and services for the benefit of the animal agriculture value chain and the companion animal sector. A dynamic and innovative work environment, where you are invited to bring your winning personality and skills in. A qualified, committed and multilingual team is looking forward to welcome you. Working languages are German and English, French is an asset. Identitas is offering attractive hiring conditions. Our offices are located in Bern-Wankdorf. Interested: if so, we are happy to receive your full job application. Identitas is an equal opportunity employer. If you wish more detailed information please contact Dr. Stefan Rieder, Corporate Development, Identitas AG, phone: +41 31 996 81 83. Please send your application to hr(at)Identitas.ch.

Are you looking for a job? Then keep looking. We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either. Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time. In short:   We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story? Join our team as Machine Learning & Computer Vision Engineer (Junior or Senior): Your role... Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications Develop solutions for real world, large scale problems Your profile... Your profile... MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field Algorithmic background and rock-solid problem solving skills Strong background in image analysis, computer vision, machine learning, and deep learning (e.g. object detection and tracking, human action recognition, multi-camera vision/systems, etc.) Experience in the successful implementation of machine learning algorithms to real-world applications Profound coding experience in system components and in various software engineering systems Passion for quality, performance, and reliability Excellent teamwork and communication skills Fluency in English Ideally you will also have... Experience in non-linear optimization Proficiency in C++ 14 and 17 What we offer... An international, young and highly motivated team of start-up professionals A fast-paced, dynamic and innovative working environment The opportunity to strongly impact on the future of a drastically growing startup An organizational model that distributes power across peers A workplace in the modern Coworking Space WE'RE ALL IN in Berlin Flexible vacation policy Self-development budget Monthly team brunch Competitive compensation Ready for the mission? Don't keep us in suspense.

This particular job post is no longer active. The job listing may still be published on Towarna. You may also want to search Indeed's current listings for Towarna to see if a newer version of this job post exists. We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer Responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate Machine Learning algorithms and tools Develop machine learning applications according to Requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code Familiarity with machine learning frameworks and libraries Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills

Die Hochschule Luzern – Informatik ist das erste Informatik-Departement einer Schweizer Fachhochschule. Auf dem neuen Campus Zug-Rotkreuz besuchen Studierende die Bachelor-Angebote Digital Ideation, Informatik, Information & Cyber Security, International IT Management und Wirtschaftsinformatik sowie die beiden Master-Studiengänge Engineering und Wirtschaftsinformatik. Attraktive Weiterbildungen und anwendungsorientierte Forschung sowie Dienstleistungen ergänzen das Angebot des Departements Informatik. Es ist eines der sechs Departemente der Hochschule Luzern, an der über 1'700 Mitarbeitende tätig sind und sich rund 10'900 Studierende aus- und weiterbilden. Wir suchen per sofort oder nach Vereinbarung für den Aufbau und die Etablierung des neuen Studiengangs eine versierte Persönlichkeit als Studiengangleiterin Artificial Intelligence & Machine Learning (80 - 100%) Ihre Aufgaben Aufbau des Bachelor-Studiengangs Artificial Intelligence & Machine Learning in enger Kooperation mit den Departementen Technik & Architektur, Design & Kunst sowie Soziale Arbeit Profilierung und Entwicklung des Studiengangs sowie Akquirieren von Studierenden Planung und Durchführung von Lehrveranstaltungen Engagement in der Lehre und Betreuung von studentischen Projekt- und Bachelorarbeiten Aufbau und Pflege von Kontakten zu Industrie, Fachgremien und Institutionen Möglichkeit für eigene Forschungstätigkeit Ihr Profil Hochschulabschluss (FH, ETH oder Universität) im Bereich Informatik (idealerweise mit Promotion) mit Schwerpunkt KI und/oder Robotik Mehrjährige Erfahrung in interdisziplinären Projekten Kontaktfreudige, teamfähige und kreative Persönlichkeit mit Führungserfahrung Selbstständiges sowie kundenorientiertes Denken und Handeln Fähigkeit, andere zu motivieren und begeistern Didaktische Ausbildung und/oder Lehrerfahrung erwünscht Unser Angebot Wir bieten Ihnen eine attraktive Anstellung mit Führungsverantwortung, eine anregende Arbeitsumgebung in einem dynamischen Team und ein professionelles Umfeld mit ausgezeichneter Infrastruktur. Sie haben die Möglichkeit, Ideen und Vorstellungen einzubringen und umzusetzen sowie den Professorentitel zu erlangen. Ihr Arbeitsort befindet sich auf unserem modernen Campus an attraktiver Lage in unmittelbarer Nähe des Bahnhofs in Rotkreuz. Für weitere Informationen steht Ihnen Prof. Dr. Martin Zimmermann, Vizedirektor Ausbildung, Tel. +41 41 757 68 40, martin.zimmermann@hslu.ch , gerne zur Verfügung. Die Bewerbungsfrist endet am 26. Januar 2020. Wir freuen uns auf Ihre Onlinebewerbung .

Work somewhere with the creativity of a scaleup and expertise of an enterprise. We’re looking for an extraordinary Senior Machine Learning Engineer to join our ML team in Sierre (Switzerland). 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 (Sierre)—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 About iGenius iGenius is the groundbreaking AI company that transforms the way people do business by making it simple to get meaningful insights from data. On a mission to bridge the gap between people and data, we believe in data democratization: we develop AI-driven solutions that make technology rapidly more accessible to more people.That’s why we created crystal, the first virtual advisor for data intelligence. With a slick conversational interface—yes, you can talk to her—she puts data at your fingertips and in context, taking data analysis to another level. crystal is able to learn from your data, and talented at making predictions and serving up proactive advice.Founded in 2016 by Uljan Sharka, iGenius received Europe’s largest funding round from angel investors, collecting $7 million in one go. Please review our Privacy Policy here https://bit.ly/2XAy1gj.

Machine Learning Researcher (Knowledge Graph focused) Part-time, Project-based EF Research Lucerne, Switzerland Hiring Manager: Bob Zhou, bob.zhou@ef.com The Role Research and build adaptive learning systems. This role has flexibility in working hours and location. Responsibilities: Research the state-of-art implementations in Knowledge Graph and its application in language learning Build the recommendation engine together with the engineering team Requirements: At least Master degree in Computer Science in Machine Learning and NLP, PhD preferred Strong background and experience in Knowledge Graph Experience in building recommendation systems Solid programming skills in Python Rich experience in using at least one of the popular Deep Learning frameworks such as Tensorflow, PyTorch, etc. Be able to research independently and efficiently in any new topics in Computer Science and Machine Learning EF is the world leader in international education. Our mission is to open the world through education, and so far we have helped over 15 million people learn a language, discover the world or earn an academic degree. EF is an equal opportunities employer and offers a multicultural working environment. If you are motivated by the prospect of an international career with a dynamic and forward-thinking company, we want to hear from you.

Committed, dynamical and with a passion for precision, we revolutionise the world of measurement and survey. You are savvy in the analysis and conception of state-of-the-art technology and complex devices? Lateral thinking combined with accurate and dynamic work let you find the best of several options? Join our team and make your visions come true! Applied Machine Learning Engineer (f/m) Heerbrugg This appeals to you Productize machine- and deep-learning models and architectures into our products such as terrestrial laser scanners or total stations Development of machine learning algorithms and their evaluation with experiments Deploying machine learning models on embedded devices Development of software modules and machine learning models for object detection, and classification Contribution to the development of the machine learning software infrastructure Coaching role within the software development team with regards to machine learning. Collaboration with internal and external partners This is you A relevant university qualification (Master / Ph.D.) in computer science, mathematics, engineering or a related field with focus on machine learning Knowledge of advanced methods in machine learning, in particular in Deep Neural Networks Proven track record of applying machine learning to real industry products Familiarity with established machine learning and data processing frameworks and libraries like Tensorflow, Keras, Pytorch, Scikit learn, Scipy etc. Proficiency in software development using languages with Python and C++ Part of an agile software development environment within a self-organized team Strong inter-disciplinary communication and cooperation skills Software development experience on embedded systems is an asset Fluency in English is a must / German beneficial About Us Our innovative solutions and products are characterised by the highest efficiency and reliability. Help us to improve the future, become part of our team and a global success story. How can I apply If you are interested in this challenging and varied position, then we look forward to your online application! Due to the privacy policy, we accept applications only via the application form.

Committed, dynamic and with a passion for precision, we revolutionise the world of measurement and survey. Around the globe, customers from all industries rely on our smart technologies. You support us in engineering and implementing powerful software. You are led by curiosity and not afraid to try out new ways and ideas? Join our team and make your visions come true! Machine Learning Engineer (f/m) Heerbrugg This appeals to you Contribution in feasibility studies to investigate opportunities in the fields of surveying, reality capture, metrology, security, agriculture Development of machine learning algorithms and evaluation on real-live problems Prototypical development of software modules and machine learning models for object detection, pattern recognition, classification Contribution to the development of the machine learning software infrastructure This is you A relevant university qualification (Master / Ph.D.) in computer science, mathematics, engineering or a related field with focus on machine learning Knowledge of advanced methods in machine learning, in particular in Deep Neural Networks Prooven track record of applying machine learning and data science to real-live problems Experience in applying state-of-the-art methods on images, videos, and/or point cloud data Proficiency in software development using languages like Python and C++ Familiarity with established machine learning and data processing frameworks and libraries like Tensorflow, Keras, Pytorch, Scikit learn, Scipy etc. Ability to work independently as well as part of a team with a proactive approach to problem solving Strong inter-disciplinary communication and cooperation skills About Us Our innovative solutions and products are characterised by the highest efficiency and reliability. Help us to improve the future, become part of our team and a global success story. How can I apply If you are interested in this challenging and varied position, then we look forward to your online application! Due to the privacy policy, we accept applications only via the application form.

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