Customer Solutioning Engineer for Digital Twin – Integrated Asset Performance Management

  • Full-time
  • Legal Entity: Bosch Global Software Technologies Private Limited

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

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.
  • Actively contribute to the health indicator and KPI development projects for various templates.
  • Responsible for developing and deploying various predictive maintenance models into production environments. Monitoring of model performance and retrain models as needed to maintain accuracy and reliability.

Qualifications

  • Education: Bachelor's or Master's degree in electrical engineering, computer science, or a related field.
  • Experience: Minimum of 3 years of experience in technical roles, with a focus on assets & instrumentation and customer project delivery.
  • Technical Know-How: Strong technical expertise in assets & instrumentation, with a solid understanding of related technologies and systems.
  • Digital Twin Solution Understanding: Basic understanding of the digital twin solution ecosystem, including cloud, edge, data science, and simulation
  • Communication: Excellent communication and collaboration skills, with an ability to effectively interface with customers and internal teams.
  • Problem-solving: Strong analytical skills with a focus on identifying and resolving technical challenges.
  • Adaptability: Ability to quickly adapt to new technologies and concepts, staying abreast of industry trends and developments.
  • Certifications: Relevant certifications in assets & instrumentation or related fields are adventurous.
  • Actively contribute to the health indicator and KPI development projects for various templates.
  • Responsible for developing and deploying various predictive maintenance models into production environments. Monitoring of model performance and retrain models as needed to maintain accuracy and reliability.
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