Deep Learning Data and Infrastructure Group Leader

Deep Learning Data and Infrastructure Group Leader Apply now Deep Learning Data and Infrastructure Group Leader Description In Deep Learning Competence Centre, in the center of Budapest (IX.) we develop artificial intelligence solutions for automated driving. We are looking for enthusiastic, creative and experienced minds to understand, evaluate and implement deep learning methods. Deep Learning Data and Infrastructure Group is responsible for supporting algorithm developers with compute capacity and data management workflow and system. The Group consists of 3 Teams: Data, Infrastructure and Operations. Tasks:- Elaborate and implement the strategy of deep learning data and infrastructure areas supporting the algorithm developers’ work- Supervise deep learning data and infrastructure programs/projects with high importance, monitor internal requirements and project time lines, provide status to high level management- Participate in hiring and responsibility for retention to maintain the necessary level of capacities, competencies and motivation on Group level- End to end responsibility for the coordination/organization of the whole Group- Mentor team leaders, project managers, engineers, responsible for the professional and personal development of each engineer together with HR- Provide “freedom to act” for the technical specialists to solve the issues according to their best knowledge- Represent the needs, requirements, issues of the Group/Teams in discussions with international management- Cooperate with different levels of IT and service providers to be able to operate and develop the data management and compute infrastructure- Facilitate the collaboration with external vendors regarding sourcing processes, knowledge transfer (e.g. trainings), consulting services- Maintain good cooperation with other relevant departments inside of the organization (e.g. IT, purchasing, controlling) to achieve certain goals- Strengthen the visibility of Data, Infrastructure and Operations Teams’ results inside and outside of the organization- Support the agile transformation of the Teams (KanBan Board) Qualifications Job requirements:- Diploma in Economics/Business/Computer Science or related fields- Understanding of technical topics in the area of e.g. software development, IT management and operation, deep learning infrastructure, on-premise, cloud and hybrid infrastructure set up- Minimum 5-8 years of experience in IT - Management experience (leading min. 5-10 people)- Fluent English- Determined, goal-oriented personality and open-minded attitudeIn addition, it would be beneficial to have:- Experience with distributed computing systems, data engineering, compute cluster operations- Know-how in deep learning methods- Passion for agile development methods What we offer - World class technology stack with ambitious teams of 25 engineers already established- Development of cutting-edge data management workflow and system / high performance computing GPU cluster for deep learning (among the top compute clusters in Europe)- Cooperation with senior engineers and architects who are responsible for the technical set up- Direct impact on the success factors of development of AI related products for Continental - Competitive salary and benefits package with flexible working hours, home office- Apply now The Autonomous Mobility and Safety division develops, produces and markets intelligent systems to improve driving safety and vehicle dynamics. Integral active and passive safety technologies and products that support vehicle dynamics provide greater safety, comfort and convenience. The goal here is to implement “Vision Zero,” the vision of accident-free driving. Related Jobs Apply now Keyfacts Job-ID 137864BR Function Engineering, General Management Location Budapest Location Budapest Meet us at Continental Videoportal Nice to know Continental is formulating regulations for flexible working conditions in 21 countries, at all levels and for all employees based at these locations. The package includes offers for mobile work, part-time and flexible working hours, and sabbaticals. Go to Career Website Apply now