Digital Twin Consultant
2 weeks ago
Key Responsibilities:
- Collaborate with clients and internal stakeholders to understand their specific business needs and requirements for digital twin implementations in oil & Gas domain.
- Design, develop, and deploy digital twin models using AVEVA Engineering solutions that accurately represent real-world systems and processes, using data integration methods.
- Work closely with the EPC & Inhouse design team & Planning team to integrate 3D models, Construction work schedule to create digital twin deliverables for enhanced project monitoring & tracking purpose.
- Ensure the scalability, reliability, and security of digital twin solutions, and lead efforts to continuously improve and optimize their performance.
- Stay updated with the latest trends and advancements in digital twin technology, and proactively identify opportunities to apply emerging techniques and methodologies to our projects.
- Provide technical leadership and mentorship to junior team members, promoting knowledge sharing and skill development within the organization.
- Collaborate with sales and business development teams to support pre-sales activities, including conducting technical presentations and workshops for potential clients.
- Responsible for End-to-End Digital Twin project execution.
- Should be able to travel to KSA as per project requirement.
Preferred Candidate
Qualifications and Skills:
- Bachelor’s degree in Mechanical/ Chemical / Instrumentation Engineering,
- Proven experience (16+ years) in designing, developing, and deploying digital twin solutions & deliverables (3D/4D/5D/6D) for diverse industries such as Oil and Gas, Construction, Infrastructure.
Skills sets & experience:
- In-depth knowledge of digital twin technologies, simulation methodologies, and data integration techniques.
- Proficiency in Bentley Synchro, AVEVA ERM, PRIMAVERA, MSP, Navisworks, Power-BI softwares.
- Knowledge of 3D modeling software from OEMs like AVEVA, Hexagon, Autodesk, Bentley etc.
- Proven track record of successfully delivering digital twin projects on time and within budget.
- Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud.
- Familiarity with industry standards related to digital twins, such as the Digital Twin Consortium.
- Publications or contributions to the digital twin research community.
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