8 Artificial Intelligence jobs

MindMaze is the world’s leading Neurotechnology start-up built on more than a decade of pioneering research at the intersection of virtual reality and neuroscience. Our breakthrough platform combines virtual & augmented reality, neuroscience and artificial intelligence to build intuitive human machine interfaces. Our first products help patients suffering from severe disabilities following a neurological incident. Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze. Job Description This role is your opportunity to build and deploy new AI products from the ground up. You will work with/report to the Head of AI Initiatives to help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production. You will be required to deploy software into production by building maintainable, readable, modular solutions using modern software engineering best practices. Be ready to talk about your experiences doing code reviews, building interfaces, and deployment systems. You should have strong opinions about best software engineering practices. You will: Support the Head of AI Initiatives to set up our AI development and production infrastructure. Support MindMaze product managers and business stakeholders understand the potential and limitations of AI when planning new products. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help product managers and stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep current of latest AI research relevant to our business domain. To support you, MindMaze will: Provide an international collaborative work environment Provide mentoring Allow flexible employment terms and conditions Qualifications Skills that we look out for are among BSc in a STEM (Sciences, Techno, Engineering, Math) subject ideally with Masters in a Computer Science related project with AI exposure Postgraduate degree in AI related topic At least 5 years hands-on programming /data science application experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python (preferred), R, SAS, or MatLab Experience building AI models in platforms such as Keras, TensorFlow (preferred), or Theano Demonstrated strong personal commitment to improve yourself and particularly in learning about AI through your own initiatives through courses, books, or side projects and working on compensating for potential gaps Ideally experience in Healthcare applications of this technology Ability to shift gears comfortably without having the total picture and to handle risk and uncertainty Ability to come up with a lot of new and unique ideas, making connections between existing models and best practices and adapt them to our environment Business acumen: Knowledge of how the business works, knowledgeable in current and future practices, trends and information affecting the business Strong team player : quickly find common ground and solve problems for the good of all. Ability to represent own interest and yet be fair to other groups Fluent written and spoken English and French level (level C1) Icing on the cake Be ready to show us models you have created and discuss them in great detail. Additional Information To be successful you can illustrate the fact that you have the following abilities: Working autonomously: setting tasks and direction under limited supervision Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect Self-Development: personally committed to and actively works to continuously improve him/herself; works with a growth mindset Planning accurately: setting objectives and goals; breaking down work into the process steps; anticipating and adjusting to problems and roadblocks

Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.  Job purpose This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product. Responsibilities Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies. Oversee client service requests acting as a service delivery and escalation manager. Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues Build client success and prioritization plans aligned to key performance indicators and objectives. Ensure key accounts are updated on new product features and produce roadmaps to implement. Educate clients on the value of the overall solution and encourage optimal utilization. Channel customers’ feedback to the Dathena product team. Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs. Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field. Key metrics Customer and Partner satisfaction Implementation duration # of conversion of Customers to subscription Contributions to product and sales process improvement Desired Experience Comfortable managing technical conversations with technical and non-technical stakeholders. Problem-solving skills around technical, product, and business questions. Ability to build great relationships with technical and non-technical customers Contribute to the success of a dynamic and growing organization Good knowledge in using query languages such as SQL, Hive, Pig, etc. Good scripting and programming skills: Bash, Python, Scala, Java. Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc. Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable Knowledge with NoSQL databases, such as Cassandra and HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Soft Skills Fluent in English; French or German is a plus Data-oriented personality Exceptional Oral and Written Communication Skills Time management Interpersonal Skills Critical Thinking Working conditions   As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.

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 Computer Vision & Machine Learning Engineer: 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... 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 computer vision or machine learning Solid coding experience in system components and experience in various software engineering systems Passion for quality, performance and reliability Excellent teamwork and communication skills Ideally you will also have... Experience in deep learning & non linear optimization 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 Advertima   An organizational model that distributes power across peers   A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG) Flexible vacation policy Self-development budget Monthly team brunch Competitive compensation Phantom stock options Ready for the mission? Don't keep us in suspense.

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 Computer Vision & Machine Learning Intern: 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... BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field Algorithmic background and rock-solid problem solving skills Background in computer vision or machine learning Solid coding experience in system components and experience in various software engineering systems Passion for quality, performance and reliability Excellent teamwork and communication skills Availability of at least 6 months, interest in a fixed position preferred Ideally you will also have... Experience in deep learning & non linear optimization 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 Advertima & to be transferred to a fixed position after 6 months   An organizational model that distributes power across peers A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG) Flexible vacation policy Self-development budget Monthly team brunch Competitive compensation Phantom stock options 

CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of    Digital Transformation   ,    Performance Management    and    Data Governance   .   Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support. In order to strengthen our teams, we are looking for one of our customers in Geneva a (e): SENIOR DATA SCIENTIST / IA MAIN ACTIVITIES Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation. Evaluate and pre-process raw information as necessary;   delve into data to discover discrepancies and matching patterns. Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities. Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability. Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets. Design and build from scratch a hub query, based on various sources, and accessible to the business. Collaborate with ICT teams to evaluate and implement required developments. Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution . TECHNICAL SKILLS 7+ years of experience as a Data Scientist Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar). Proficient in algorithms / queries for global / elastic search implementation Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication Proficient in programming languages ​​and environments such as MATLAB, R, Python or related languages Excellent analytical and communication skills Outstanding organizational and problem-solving aptitude Strong experience in large-scale deployment processes Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field LANGUAGES Fluent French   Fluent in written and spoken English Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ... At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company. To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together!   So, do not hesitate, come join us.

Introduction Hours: 40 Up to £73,436 a year dependent on experience Permanent 35-hour per week contract Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery. What you'll be doing Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient.  Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”. Who we're looking for In addition to an inquisitive mindset and a passion for innovation, you will also: Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus Have a background in data engineering or operational support, again within a data domain Be experienced in driving both innovation and automation Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy Have excellent stakeholder management and influencing skills It would be nice if you also had: Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage Experience of appliance databases, such as Teradata Have worked in the financial sector for part of your career to date The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? Please apply by using the  'Apply now'  button. No recruitment agencies please.

The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world. We are looking for an experienced Data Scientist, grounded with a strong  Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a  core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches. This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company.   Your reponsabilities: Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry. Turn business and technical challenges into algorithmic and data-driven solutions. Supervised deployment of models and algorithms within the production environement.  Ensure conitnuous improvement through industrialized machine learning pipeline. Collaborate and communicate to all levels of the company and externally (academic, start-up...). Build new and improved solutions for data collection, management and usage. Become an authorithy in Machine Learning / Artificial Intelligence within the company.   Qualifications: Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics. Demonstrated experience with machine learning, operation research and datamining in professional environement. Proven ability to manage R&D projects and supervise research teams. Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms. Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...). Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated. Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners. Willing to assume additional responsibilities and to become a respected know-how carrier in our team  

GPS (Global Product Strategy) drives the business strategy at Roche from research to commercialization. GPS collaborates closely with teams across the organization to bring new therapies to the market and maximize the launched product portfolio. With your ability to work in the detail yet see the big picture you can influence the direction of the company in a disease area. At Roche we offer you chances to create your career inside or outside of GPS. With offices in 160 countries, we offer a truly international experience depending on where your interests take you. The Data Scientist will be responsible for creating value from data assets using advanced analytics capabilities, such as data science, machine learning, and artificial intelligence methods, to identify critical business issues and opportunities for the strategic direction of Roche as part of the Advanced Analytics and Business Insights (AABI) Center of Excellence. In this role, the individual will work closely with the AABI team and the broader GPS/I8 teams to define use cases, frame analytical solutions and roadmaps, and implement analysis to drive business impact for Roche across the Commercial, Market Access, Medical, and Finance teams. They will work closely with IT to develop state-of-the-art analytical capabilities to address identified needs. The Data Scientist is a subject matter expert on analytics, data, and measurement. Their technical expertise and strong leadership is recognized externally (speaking at conferences and industry events) and internally (proactively providing market expertise and strategic guidance to key stakeholders, while learning and sharing methodologies for complex analyses). They integrate multiple data sources to become a trusted, objective source of strategic insights and compelling recommendations to the Commercial organization and our internal partners. Responsibilities In this position, the person will be accountable to consistently and effectively: Set strategic direction by working across GPS/I8 to understand business needs and translate them into use cases to drive business impact for Roche Partner with the data platform and governance team and IT to ensure that data strategy has the ability to resolve use cases in the most efficient and effective manner Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools Develop, implement, and evolve the role of data science, machine learning, and artificial intelligence capabilities across GPS and I8 Commercial, Market Access, Medical, and Finance teams Automate analyses and develop interactive, employee-facing tools, platforms, and systems that inform, support, and enable business decisions across Roche by delivering insights in a speedy and efficient manner Provide technical/analytical expertise to team through secondary data analytics Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value Demonstrate self-accountability Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship Key Qualifications and Experience Required: Masters/PhD in Data Science, Statistics, or related graduate-level degree At least three years analytical experience, preferably within pharmaceutical or biotech industry Very strong technical skills: designed and conducted analyses to generate insight and recommendations; proficiency in analytical tools (Python, Spark, R etc.) and cloud computing environments Demonstrated ability to influence without direct authority and to develop and maintain strong partnerships Exceptional structured problem-solving and strategic agility abilities Excellent communication skills: simplifying complex information into clear, synthesized insights and presenting them to stakeholders at all levels of the organization Experience with global pharmaceutical data: syndicated sales, promotional & marketing data, longitudinal patient-level data, payer data. Additional knowledge of primary market research or medical research data is a plus. Experience using patient level data (medical/retail claims) to analyze treatment and usage patterns Experience working with commercial teams and marketing analytics Experience with advanced statistical techniques such as experimental design, CHAID, uncertainty analysis, data mining, segmentation methods, multivariate regression, construction of score-cards, or predictive modeling Excellent speaking abilities; strong network around data science and analytics Proven track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form, including experience and level of comfort presenting concepts to senior executives Impeccable ethics and integrity Business travel is required for regular internal and external business meetings Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities at Roche. Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button.