Job
Description
Hello Eager Tech Expert!
To create a better future, you need to think creatively. Thats why we at Siemens need innovators who arent afraid to push boundaries to join our diverse team of tech gurus. Got what it takesThen help us build lasting, positive impact!
Youll break new ground by
PhD with 3+ years /Masters degree with 5+ proven experience from a reputed institute/organization.
Hands-on experience with one or more of the following is a must
Timeseries data analytics, feature engineering, and ML model development for industrial use cases in Process industry and/or discreet industry. In depth experience in Generative AI technologies, LLMs, capability to train/tune local LLMs, prompt engineering in industrial AI use cases In depth experience in Agentic AI frameworks and ability to implement Agentic AI solutions Expertise in Python, C++, C# languages Solid hands-on experience in training deep neural networks, recurrent networks using frameworks like Tensorflow, PyTorch, Sci-kit learn, LangChain Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest use cases with the best technological option for prototyping and productization. Expertise in working with databases like Influx, Mongo DB Ability to support and bring in customer/partner interest for the research group in the form of realizable pilots/projects
Youre excited to build on your existing expertise, including
Understanding of closed loop control in Industrial use cases
Know how of time series and vector embedding spaces
Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices
Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus
Knowledge of SaaS fundamentals is a plus
Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus
Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio.
Closely follow latest developments in artificial intelligence and be an early adopter of pioneering trends/technologies
Soft
Skills:
Technology leadership to drive and support topics in the guide path
Capability to confidently address colleagues, end customers, over teams or in person meetings to demonstrate the work done effectively
Very energetic and willing to walk the extra mile for achieving targets and be an active AI enthusiast within and outside Siemens.
Create a better #TomorrowWithUs!
Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.