Customer Solutioning Engineer 1
Customer Solutioning Engineer 1
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Job Description
We make machines speak! Find out how by becoming one of our team members in Boschs Home of Intrapreneurs. Digital Twin Integrated Asset Performance Management is a corporate startup that is going global and faces huge business potential which now needs to be realized. Therefore we need you as contributors shapers & fellow team members in a multicultural innovative and ambitious environment. Together we will take human and machine intelligence to a next level of humanmachine collaboration based on learning algorithms & realworld challenges with large industrial machinery.As a Customer Solutioning Engineer you will act as the primary customer interface and technical orchestrator in engineering and delivery within customer projects. Your role involves leveraging technical expertise in assets & instrumentation along with a solid understanding of the digital twin solution ecosystem (cloud edge data science simulation) to ensure successful implementation and delivery of customer projects.
Key tasks / topics:
Customer Interface: Serve as the primary technical point of contact for customers understanding their requirements and translating them into technical solutions.
Technical Orchestration: Lead the technical aspects of customer projects coordinating with internal teams and external stakeholders to ensure alignment and successful project delivery.
Asset & Instrumentation Expertise: Utilize technical knowledge of assets and instrumentation to identify and address customer needs and challenges effectively.
Digital Twin Solution Ecosystem: Develop a solid understanding of the digital twin solution ecosystem including cloud edge data science and simulation to support solutioning and delivery.
Solution Design: Collaborate with internal teams to design technical solutions that meet customer requirements and align with business objectives.
Project Delivery: Oversee the implementation and delivery of technical solutions ensuring they meet quality standards and customer expectations.
Continuous Improvement: Stay updated on emerging technologies and industry trends relevant to customer projects identifying opportunities for innovation and enhancement.
Qualifications :
- Masters or Bachelors in Electronics Electrical Mechanical Materials or related fields
Additional Information :
- 310 years of experience in various roles related to research development industrial processes & automation and managing high performance teams
- Handson experience with data collection preprocessing and analysis from industrial systems
- Proficiency in programming languages such as Python or R
- Strong knowledge of machine learning libraries and frameworks (e.g. scikitlearn TensorFlow PyTorch etc.)
- Strong statistical and analytical skills with the ability to interpret complex datasets.
- Experience in feature engineering and selection for predictive modeling.
- Familiarity with cloud platforms (e.g. AWS Azure) and their data services.
- Ability to connect engineering to data science
- Experience/ Understanding of physics informed and firstprinciple based AI
- Very Good Understanding of Industrial equipment and required instrumentation aspects
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
