AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Use Case Manager – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204258BR
City: Zürich
Job Type : Full Time
Your role:
Do you have the know-how to apply business analysis techniques to deliver innovative solutions? Are you able to challenge the status quo? Are you able to understand business drivers and developments, and explain in a succinct and understandable manner? We're looking for a Use Case Manager who will: • interact and closely engage with all relevant stakeholders to establish risk identification, control and supervision to support AI and machine learning solutions • define requirements and functional specifications for the model developers • manage the development process through production and solution transfer to the stakeholders
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• master's degree in Business Administration, Economics / Finance • 2+ years of experience in risk & compliance in the financial services industry, in change-the-bank and run-the-bank role • very good knowledge in functional requirements analysis and specification and used to closely collaborate with highly technical staff • expertise in global regulatory context and sound understanding of its impacts on model methodology and IT • sound understanding of banking, compliance and operational risk taxonomies, processes and controls • excellent project management skills, covering the initial analysis & requirements specification process through to production deployment and solution transfer to the business users • strong interpersonal, stakeholder management and communication skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model Developer
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204257BR
City: Zürich
Job Type : Full Time
Your role:
Does quantitative modeling excite you? Are you an innovative thinker and interested in risk topics? Do you enjoy understanding algorithms and their background? We're looking for a model developer who will: • design, build and test AI models and solutions for business stakeholders and users primarily relying on Python based libraries and frameworks • ensure adherence to standards related to our AI development pipeline, model validation, front / back-end interfaces and workflow procedures • design and implement reusable Python assets, code templates and ongoing AI development framework enhancements. • stakeholder management across various levels within the business unit and interact with all relevant GCRG stakeholders. • collaborate with data architects and IT specialists to support as well the development of a data strategy and bespoke technical infrastructure
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science, Physics, Statistics or Mathematics • up to 5 years of analytics / statistical model development experience, using advanced quantitative & machine learning methods, applied preferably in financial services, risk & compliance domain • fluent in Python or R • strong expertise in Scikit, Pandas, Numpy, Tensorflow, Keras, Spacy, model transparency and interpretability techniques • front-end prototyping experience in R Shiny or JS React advantageous • understanding of model risk management processes • basic understanding of IT and software engineering principles • good communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Model & Methodology Maintenance and Business Enabler
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204256BR
City: Zürich
Job Type : Full Time
Your role:
Are you an expert in in the use of machine learning for decision making? Do you enjoy understanding algorithms and their background? Are you organized with an eye for detail? We're looking for someone like that to: • maintain our newly built AI and machine learning solutions on our proprietary platform • calibrate, verify and manage model governance and the model governance process • act as the main point of contact for ensure stakeholders and model users, ensuring they know how to use and have reliable access to our solutions, including providing topical training and second level support
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• ideally a Master's in Mathematics, Natural Sciences, Engineering, Economics or Quantitative Finance • minimum 2+ years' experience in model risk management and model governance processes within the financial services industry • experience in model development or validation, using R, Python, Java, C++ • strong understanding of international regulatory, risk & compliance business context • model maintenance experience across a diverse set of non-financial risk taxonomies (e.g. Conduct, Legal, Cyber etc.) • solid experience in modern banking IT environments & good understanding of their specific requirements (e.g. data management, security etc.) • good communication, writing and presentation skills, teaching or 2. Level business support experience a strong plus • fluency in English required, other languages (e.g. German) advantageous us
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
AI Software Engineer – Model Methodology
Digital, Information Technology (IT), Risk
Corporate Center
Job Reference # 204255BR
City: Zürich
Job Type : Full Time
Your role:
Are you passionate about bringing systems to life? Do you have a curious nature, always interested in how to innovate? Are you an innovative thinker and interested in risk topics? We're looking for a software developer who will: • create AI development guidelines, design and build GUI templates • implement a comprehensive testing, delivery and deployment framework • ensure resilient interfaces to production environments, front / back-end components complying with existing validation and Group IT standards contributing to the creation of a data strategy • build an IT infrastructure coordinating technical activities towards the validation of model • closely interact with all relevant business unit stakeholders to architect and deliver robust, scalable and sustainable AI solutions.
Your team:
Methodologies and Models within Group Compliance, Regulatory and Governance is a newly established unit which uses state of the art AI/Machine Learning based solutions, covering the entire non-financial risk control and compliance space. Our mandate is to design and build the next-generation methodology set and AI development pipeline & tooling in an end-to-end responsibility. We are an ambitious team, with a startup setup and entrepreneurial spirit, embedded within a global financial institution.
Your expertise:
• university degree (Master's or Ph.D.) in Computer Science • 2+ years of software development experience under Windows / Unix / Linux / MVS, applied preferably in financial services, risk & compliance domain • fluent in Python / R / C++ / Java • solid experience in front-end development technologies like JS React or Angular • strong expertise in relational DBMS (DB2, MySQL, SQL Server, Oracle) and Data Lakes (Microsoft, Oracle, TeraData) • sound knowledge of BigData and deployment environments & processes (Cloud computing, Azure, Hadoop) • working knowledge of Machine Learning frameworks • basic understanding of model validation process • excellent communication, writing & presentation skills • fluency in English required, other languages (e.g. German) advantageous
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
10/02/2020
Full time
Quantitative Risk Specialist (Financial Crime)
Compliance, Quantitative Analysis, Risk
Corporate Center
Job Reference # 205124BR
City: Zürich
Job Type : Full Time
Your role:
D o you want to want to contribute to project of firm-wide significance? We're looking for someone who is ready to support the bank-wide UBS AML data analytics program with particular focus on the following tasks: • Act as a Subject-Matter Expert for the bank-wide AML Client Risk Rating Model within the central Financial Crime Prevention unit • Support managing instances of the global AML Client Risk Rating (CRR) model • Analyse Model Performance and develop Challenger Models • Review model parameters and thresholds on a regular basis for appropriateness • Support internal model validation assessments • Participate in global Steering Committee which supervises CRR • Own Product Risk assessment process and methodology • Run a change management process / change board that ensures transparency on and appropriate prioritization of change requests • Engage with a global community of stakeholders in Financial Crime and Business units
Your team :
You will be working in the Risk Assessments and Analytics team within global Financial Crime function. We work as a gatekeeper in preventing money laundering, terrorism financing, sanctions and corruption risks for the bank. Our role is to perform group level risk assessments, evaluate money laundering risks linked to countries, and carry out systematic data analytics exercises on a client level.
Your expertise :
• a Master degree (MS or MA) in mathematics, statistics, physics, engineering or statistics • at least 5years experience in a quantitative data driven role • Fluent in R, Python, SQL other programming languages an advantage • experience in Financial Crime risk management, audit or compliance • a sound understanding of Due Diligence processes, risk factors, and relevant regulatory requirements • knowledge of model risk and model validation • good record keeping and report drafting skills • ability to lead people/projects or initiatives
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
The position is part of a project focused on the development of deep learning applications and sampling strategies to support in-situ monitoring tools for the study of phytoplankton dynamics in lakes. The interdisciplinary project is led by Dr. Marco Baity-Jesi (Siam) in close collaboration with Dr. Francesco Pomati (Eco) and Dr. Carlo Albert (Siam). The ideal starting date is 1 May 2020 and the project duration will be 2 years. We are looking for excellent candidates with a solid background in either machine learning, probability or statistical physics. Good communication skills, open mind and an interest to cross disciplinary boundaries are also appreciated, due to the close interaction with collaborators coming from different domains. The researcher will be expected to use computer vision methods to analyze camera images, to develop semi-supervised learning strategies for dataset creation, and to devise monitoring schemes for optimal sampling of field data. The researcher will be required code in Python and to manage jobs in a computer cluster. Eawag offers a unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment. Closing date is 31 March 2020 , but the screening of applicants will begin on 1 March 2020. Your application should include a CV, a short motivation letter and the names and contact information of two references. For further information, please contact Dr. Marco Baity-Jesi. We look forward to receiving your application. Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.
05/02/2020
Full time
The position is part of a project focused on the development of deep learning applications and sampling strategies to support in-situ monitoring tools for the study of phytoplankton dynamics in lakes. The interdisciplinary project is led by Dr. Marco Baity-Jesi (Siam) in close collaboration with Dr. Francesco Pomati (Eco) and Dr. Carlo Albert (Siam). The ideal starting date is 1 May 2020 and the project duration will be 2 years. We are looking for excellent candidates with a solid background in either machine learning, probability or statistical physics. Good communication skills, open mind and an interest to cross disciplinary boundaries are also appreciated, due to the close interaction with collaborators coming from different domains. The researcher will be expected to use computer vision methods to analyze camera images, to develop semi-supervised learning strategies for dataset creation, and to devise monitoring schemes for optimal sampling of field data. The researcher will be required code in Python and to manage jobs in a computer cluster. Eawag offers a unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment. Closing date is 31 March 2020 , but the screening of applicants will begin on 1 March 2020. Your application should include a CV, a short motivation letter and the names and contact information of two references. For further information, please contact Dr. Marco Baity-Jesi. We look forward to receiving your application. Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen.
01/02/2020
Full time
Ihre Aufgabe Entwicklung von Softwareapplikationen und Qualitätsprüfverfahren basierend auf neuronalen Netzen (Vision, Sensordaten) Umsetzung von neusten Konzepten aus dem Bereich Deep Learning in Industrie- und Forschungsprojekten Arbeiten in ESA/Space Projekten Verantwortlichkeit für die Betreuung und Weiterentwicklung von bestehenden Installationen bei Kunden Mitgestaltung der internen Forschungsroadmap Mitwirkung in interdisziplinären Projekten Interaktion mit Kunden und Forschungspartnern auf nationaler und internationaler Ebene. Ihr Profil Sie verfügen über einen Master oder PhD in Informatik, Neuroinformatik oder Maschinenbau (Fokus Machine Learning, Vision, Robotik) Sie haben Fachwissen in einem oder mehreren der folgenden Bereiche: Predictive Maintenance mit Machine Learning RNN, CNN, GAN Bildverarbeitung 2D/3D Machine/Process Health Monitoring Augmented (Mixed) Reality Parallelcomputing mit CUDA Hardwarenahe Systementwicklung Sie kennen eine oder mehrere der folgenden Programmiersprachen: Python, TensorFlow, C#, OpenCV, CUDA Sie arbeiten strukturiert und haben eine analytische Vorgehensweise Sie zeichnen sich durch eine schnelle Auffassungsgabe und kreative Ideen aus Sie kommunizieren offen und arbeiten gerne in interdisziplinären Teams Sie beherrschen Deutsch und Englisch in Wort und Schrift, Französischkenntnisse sind von Vorteil. Wir bieten Das CSEM bietet ein anregendes und multidisziplinäres Arbeitsumfeld mit der Gelegenheit, mit nationalen und internationalen Unternehmen zu arbeiten. Neben ausgezeichneten Sozialleistungen bieten wir Ihnen die Gelegenheit, Ihre Fähigkeiten in einem hochtechnologischen, multikulturellen Unternehmen mit einer mitarbeiterorientierten Kultur weiterzuentwickeln. Wir freuen uns auf Ihre vollständigen Bewerbungsunterlagen.
Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
01/02/2020
Full time
Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities:
Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies
Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible
Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies
Assess quality controls around different approaches as well as suggesting new approaches in research
Design processing pipelines for terabytes of price data
Requirements:
5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry
Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field
Excellent programming skills in Python and Scala
In-depth experience with Spark (more than black-box usage)
Excellent skills in quantitative analysis, programming, and statistical modeling
Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics
Experience in financial markets or exposure to trading is an advantage
What we offer:
We apply the newest technologies and strategies in order to gain advantage over our competitors.
We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed
You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning.
Attractive office locations in the center of Switzerland in Zug and Zurich.
The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business.
A compensation and bonus scheme that’s unprecedented in the industry.
Please apply via our careers site. We look forward to getting to know you!
Philip Morris International
Lausanne, VD, Switzerland
Over the past three years, Philip Morris International (PMI) has made a dramatic pivot away from the marketing and sales of combustible cigarettes, and moved towards its Reduced-Risk Product (RRP) portfolio, focusing on its flagship product, IQOS. This launch of this product is PMI’s step forward to creating a smoke-free future for legal age consumers who continue to enjoy tobacco, but are seeking smoke-free alternatives. All of this has been accompanied by an organization-wide transformation in ways of working, culture, and strategy, with emphasis on digital, consumer and collaborator strategies. Do you look for ways to learn and grow in an international environment? Do you want to build a remarkable career? Are you up for a 6-month challenge starting as of July/August 2019? Then apply now, we need you: Intern in Machine Learning – Image Processing You have the following skills and qualifications:
Currently studying for your Master degree in Computer science or related area
Familiarity with ML frameworks for object detection (YOLO, PyTorch, Keras, Tensorflow, etc.)
Solid programming skills in Python, Knowledge of Scrum, TDD
Unix shell scripting
Gitflow workflow
A desire to learn and strong motivation to succeed
Responsibilities:
Use ML techniques to analyze stream of images to detect specific objects in them
Identify the most effective object detection techniques
Develop an approach to address labelled data bottleneck
Assess the quality of the devised analytical solution
Project Description: We are looking for a Machine Learning Intern to join PMI Data Science Team. In this project we aim to investigate various deep learning architectures, pre-trained models and API's to extract insights from visual data. For example, given a stream of pictures, a suite of purpose-built models can extract various types of contextual information using object detection and segmentation models, e.g.: ‘person’, ‘male’, ‘female’, ‘group’, ‘garden’, ‘bar’, ‘beach’, ‘drink’, ‘color spectrum’, ‘brands’, etc. Objective is to leverage on the existing models & data pipelines and explore the visual aspect of the image data. Extracted data related to visual entities will be made available for other data scientists & business users for further exploration. References:
Mask R-CNN for object detection and segmentation https://github.com/matterport/Mask_RCNN
A great starting point for all sorts of pre-trained models and papers https://modelzoo.co/
Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to create a smoke-free future and ultimately replace cigarettes with smoke-free products to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of Dec. 31, 2018, PMI estimates that approximately 6.6 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 44 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites.
28/01/2020
Full time
Over the past three years, Philip Morris International (PMI) has made a dramatic pivot away from the marketing and sales of combustible cigarettes, and moved towards its Reduced-Risk Product (RRP) portfolio, focusing on its flagship product, IQOS. This launch of this product is PMI’s step forward to creating a smoke-free future for legal age consumers who continue to enjoy tobacco, but are seeking smoke-free alternatives. All of this has been accompanied by an organization-wide transformation in ways of working, culture, and strategy, with emphasis on digital, consumer and collaborator strategies. Do you look for ways to learn and grow in an international environment? Do you want to build a remarkable career? Are you up for a 6-month challenge starting as of July/August 2019? Then apply now, we need you: Intern in Machine Learning – Image Processing You have the following skills and qualifications:
Currently studying for your Master degree in Computer science or related area
Familiarity with ML frameworks for object detection (YOLO, PyTorch, Keras, Tensorflow, etc.)
Solid programming skills in Python, Knowledge of Scrum, TDD
Unix shell scripting
Gitflow workflow
A desire to learn and strong motivation to succeed
Responsibilities:
Use ML techniques to analyze stream of images to detect specific objects in them
Identify the most effective object detection techniques
Develop an approach to address labelled data bottleneck
Assess the quality of the devised analytical solution
Project Description: We are looking for a Machine Learning Intern to join PMI Data Science Team. In this project we aim to investigate various deep learning architectures, pre-trained models and API's to extract insights from visual data. For example, given a stream of pictures, a suite of purpose-built models can extract various types of contextual information using object detection and segmentation models, e.g.: ‘person’, ‘male’, ‘female’, ‘group’, ‘garden’, ‘bar’, ‘beach’, ‘drink’, ‘color spectrum’, ‘brands’, etc. Objective is to leverage on the existing models & data pipelines and explore the visual aspect of the image data. Extracted data related to visual entities will be made available for other data scientists & business users for further exploration. References:
Mask R-CNN for object detection and segmentation https://github.com/matterport/Mask_RCNN
A great starting point for all sorts of pre-trained models and papers https://modelzoo.co/
Philip Morris International: Building a Smoke-Free Future Philip Morris International (PMI) is leading a transformation in the tobacco industry to create a smoke-free future and ultimately replace cigarettes with smoke-free products to the benefit of adults who would otherwise continue to smoke, society, the company and its shareholders. PMI is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S. PMI is building a future on a new category of smoke-free products that, while not risk-free, are a much better choice than continuing to smoke. Through multidisciplinary capabilities in product development, state-of-the-art facilities and scientific substantiation, PMI aims to ensure that its smoke-free products meet adult consumer preferences and rigorous regulatory requirements. PMI's smoke-free IQOS product portfolio includes heated tobacco and nicotine-containing vapor products. As of Dec. 31, 2018, PMI estimates that approximately 6.6 million adult smokers around the world have already stopped smoking and switched to PMI’s heated tobacco product, which is currently available for sale in 44 markets in key cities or nationwide under the IQOS brand. For more information, see our PMI and PMIScience websites.
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.
28/01/2020
Full time
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.
