AI Simulation Engineer (m / f / d 100%)
Location : Zurich or Munich
ABOUT SPHERE-ENERGY
We 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.
Tasks
ABOUT THE POSITION
We are seeking the brightest minds to join our growing team as an AI Simulation Engineer.
In 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.
Your 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.
This 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.
Requirements
KEY RESPONSIBILITIES
Internal Product Development
- Research innovative ways of solving identified market challenges by applying data-driven and physics-informed AI technologies
- Own development streams towards the productionalization of new simulation products / offerings
- Work closely with stakeholders to gather requirements and define feature priorities
Hands-on Project Involvement
Participate in the delivery of client projects by developing new features and act as a key sparring partner for project managers and relevant client stakeholdersOversee the processes and structures to keep internal timeline targetsTechnology Scouting
Support the constant development of our service portfolio by identifying new technological opportunitiesYOUR PROFILE
Masters degree in Data / Computer Science Applied Mathematics Engineering or a related fieldRelevant practical experience in machine learning applied to at least two different AI domains - such as large language models computer vision time-series modeling etc.Strong skills in Python and common libraries such as Pandas Scikit-learn or PyTorchExperience in MLOps including model deployment monitoring CI / CD pipelines experiment tracking (e.g. MLflow) as well as cloud platforms (AWS GCP Azure)Track record of rapid prototyping POCs and iterative model improvement ideally in a client-facing environmentAbility to translate ambiguous engineering problems into AI-driven solutions and evaluate the model performance deployment complexity latency and cost tradeoffCollaborative mindset paired with a high sense of end-to-end ownership and initiativeCuriosity to explore emerging AI technologies architectures and toolsNICE TO HAVE
Experience with system simulations (CFD FEA Thermal / Fluid dynamics etc.) and integrating AI models into real-world engineering systemsExpertise in multi-modal AI work and various architectures (e.g. transformers multi modal encoders) or novel modalities (multi-sensor fusion LAMs generative design)Benefits
BENEFITS
Exposure to innovative technologies in real-world applications across different industriesA dynamic young and collaborative work environment that fosters innovationOpportunity to influence strategy and product roadmap of the companyHybrid working mode and flexible working hoursFair market salary variable compensationHOW TO APPLY
If 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.
Key Skills
ASP.NET,Health Education,Fashion Designing,Fiber,Investigation
Employment Type : Employee
Experience : years
Vacancy : 1