Digital Solution Engineering Specialist
Bangalore Urban, Karnataka, India
Bij ABB helpen we industrieën beter te presteren - slanker en schoner. Vooruitgang is hier een verwachting - voor jou, je team en de wereld. Als wereldwijde marktleider geven we je wat je nodig hebt om dat waar te maken. Het zal niet altijd gemakkelijk zijn, groeien vergt lef. Maar bij ABB sta je er nooit alleen voor. Doe wat de wereld doet draaien.
Deze functie rapporteert aan:
Digital Solution Engineering ManagerIn this role, you will have the opportunity to coordinate and facilitate the development, implementation, and successful onboarding of digital solutions. Each day, you will support the adoption of digital platform and solutions into the customer business environment along with their subsequent operations and maintenance. You will also showcase your expertise by participating in the ideation workstreams from identifying and validating the needs to defining the development.
The work model for the role is Hybrid
This role is contributing to the Automation - Digital in India .
You will be mainly accountable for:
- Performing a variety of software engineering tasks in one or more areas of the assigned areas such as software development, software quality engineering, software testing, DevOps, cybersecurity, software release, support and maintenance, and/or release management, with limited supervision.
- Testing and troubleshooting the final system setup and ensuring its successful rollout through training and retraining the customers and providing subsequent ongoing support and services.
- Ensuring that all required resources are in place to implement software on-time and on-budget.
- Contributing to the software product roadmap and portfolio through suggesting new features, functionality, and variants.
Qualifications for the role
- 5-10 years in mechanical engineering, asset management, or reliability engineering domains. B.Tech/M.Tech in Mechanical Engineering or related discipline.
- Deep understanding of mechanical equipment and systems such as motors, pumps, compressors, fans, turbines, gearboxes, bearings, and conveyors. Knowledge of mechanical failure modes, degradation mechanisms, and asset lifecycle management principles.
- Experience with condition monitoring techniques: vibration analysis, thermal monitoring, acoustic emission, and tribology. Familiarity with reliability engineering concepts (MTBF, MTTR, RCM, FMECA, risk-based approaches).
- Understanding of Asset Performance Management principles, strategies, and industry best practices. Knowledge of APM platform capabilities including condition monitoring, predictive maintenance, asset integrity, and lifecycle management.
- Experience with digital transformation and Industrial IoT integration in industrial environments. Familiarity with data analytics, time-series analysis, and anomaly detection methodologies.
- Knowledge of industry standards relevant to mechanical equipment and maintenance (ISO 13373, ISO 20816, ISO 10816, API 670). Understanding of safety standards and compliance requirements in industrial automation and asset management. Familiarity with enterprise software documentation, configuration management, and best practices Understanding of enterprise systems (ERP, SCADA, MES) and industrial software architecture.
- Basic knowledge of machine learning and AI concepts applicable to predictive analytics and fault detection. Ability to create functional specifications, technical documentation, and data flow diagrams for APM solutions.
More about us
The mission of Digital group within ABB Industrial Automation business is to provide next generation Artificial Intelligence enabled Industry Analytics solutions that addresses the needs of an Industry 4.0 driven ecosystem to further strengthen ABB Ability™ offerings to enable us achieve the fair share of huge market.
The group will accelerate digital capabilities through a Horizontal, reusable and still Industry Rich Analytics Platform to excel in IoT and system integration, coupled with Predictive modeling and Transformative Analytics Apps and Solutions
-Machine Learning enabled Analytics Platform
Wij waarderen mensen met verschillende achtergronden. Zou dit jouw verhaal kunnen zijn? Solliciteer vandaag nog of bezoek www.abb.com om meer over ons te lezen en meer te weten te komen over de impact van onze oplossingen over de hele wereld.
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Aanvraag-ID: JR00038911