AI Engineer

Darum lohnt es sich

ppbAI Simulation Engineer (m/f/d, 100%) /b /p p_Location: Zurich or Munich /p p_bABOUT SPHERE-ENERGY /b /p pWe are a young, dynamic and technology-driven company, committed to developing targeted AI-driven solutions that revolutionize the development of products in the broad field of engineering. /p h3Tasks /h3 pbABOUT THE POSITION /b /p pWe are seeking the brightest minds to join our growing team as an AI Simulation Engineer. /p pIn this role, you will lead and deliver high-impact AI projects in collaboration with leading clients across different industries, and contribute to the development of our internal AI and data product portfolio.

You will work hands-on with real-world multi-modal datasets, build predictive models, and develop AI-driven simulation technologies to accelerate product development. /p pYour role will combine technical and hands-on expertise with scientific curiosity: from extracting insights and building robust AI models to shaping client solutions and guiding the evolution of our technology offerings. /p pThis is more than a job — it is an opportunity to help shape the future of our company and drive technology innovation in one of the most critical industries of our time. /p h3Requirements /h3 pbKEY RESPONSIBILITIES /b /p pbInternal Product Development /b /p ul liResearch innovative ways of solving identified market challenges by applying data-driven and physics-informed AI technologies /li liOwn development streams towards the productionalization of new simulation products/offerings /li liWork closely with stakeholders to gather requirements and define feature priorities /li /ul pbHands-on Project Involvement /b /p ul liParticipate in the delivery of client projects by developing new features and act as a key sparring partner for project managers and relevant client stakeholders /li liOversee the processes and structures to keep internal timeline targets /li /ul pbTechnology Scouting /b /p ul liSupport the constant development of our service portfolio by identifying new technological opportunities /li /ul pbYOUR PROFILE /b /p ul liMaster’s degree in Data/Computer Science, Applied Mathematics, Engineering, or a related field /li liRelevant practical experience in machine learning applied to at least two different AI domains - such as large language models, computer vision, time-series modeling, etc. /li liStrong skills in Python, and common libraries such as Pandas, Scikit-learn, or PyTorch /li liTrack record of rapid prototyping, POCs, and iterative model improvement, ideally in a client-facing environment /li liAbility to translate ambiguous engineering problems into AI-driven solutions and evaluate the model performance, deployment complexity, latency, and cost tradeoff /li liCollaborative mindset paired with a high sense of end-to-end ownership and initiative /li liCuriosity to explore emerging AI technologies, architectures, and tools /li /ul pb"NICE TO HAVE" /b /p ul liExpertise in multi-modal AI work and various architectures (e.g. transformers, multi modal encoders) or novel modalities (multi-sensor fusion, LAMs, generative design) /li /ul h3Benefits /h3 pbBENEFITS /b /p ul liExposure to innovative technologies in real-world applications across different industries /li liA dynamic, young and collaborative work environment that fosters innovation /li liOpportunity to influence strategy and product roadmap of the company /li liHybrid working mode and flexible working hours /li liFair market salary + variable compensation /li /ul pbHOW TO APPLY /b /p pbIf you are ready to embark on a journey of innovation and contribute to the evolution of the engineering industry, please share your resume and a cover letter detailing your interest and relevant experience. /b /p /p #J-18808-Ljbffr