Siemens Recruitment 2025 | Ontology Expert & Knowledge Graph Engineer & Software Engineer | Immediate Joiners | Apply Now
Siemens Company will be seeking candidates for Ontology Expert & Knowledge Graph Engineer & Software Engineer positions Off campuses. Candidates who have successful in BE/B.Tech, ME/M.Tech, MCA, Any Degree branches are eligible to apply. Here you can find the Siemens address, the date of interview, details on eligibility and interview agenda, as well as the application process information, and application procedure are provided below.
About The Company :
Siemens is a technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people.
Siemens Fresher Jobs Details :
Job Role : Ontology Expert & Knowledge Graph Engineer & Software Engineer
Req ID : 471392 & 428981
Qualification : BE/BTech
Job Location : Bangalore
Salary : Rs 4.5 LPA – Rs 12 LPA ( Depends on Interview )
Application Mode : Online
Ontology Expert & Knowledge Graph Engineer:
Job Purpose:
The role of Ontology & Knowledge Graph / Data Engineer is to design, develop, implement, and maintain enterprise ontologies in support of Organizations Data Driven Digitalization strategy.
This role combines architecture ownership with hands-on engineering: you will model ontologies, stand up graph infrastructure, build semantic pipelines, and expose graph services that power search, recommendations, analytics, and GenAI solutions for our organization.
Seeking highly skilled motivated expertise to drive the development and shape the future of enterprise AI by designing and implementing large-scale ontologies and knowledge graph solutions. You’ll work closely with internal engineering and AI teams to build scalable data models that enable advanced reasoning, semantic search, and agentic AI workflows.
Key Responsibilities:
1. Ontology Development:
- Design and apply ontology principles to improve semantic reasoning and data integration, ensuring alignment with business requirements and industry standards.
- Collaborate with domain experts, product managers and customers to capture and formalize domain knowledge into ontological structures and vocabularies & improve data discoverability.
- Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes.
- Integrate Semantic Data Models with existing data infrastructure and applications
2. Knowledge Graph Implementation & Data Integration:
- Design and build knowledge graphs based on ontologies.
- Create\Build Knowledge Graph based on the data from multiple sources while ensuring data integrity and data consistency.
- Collaborate with data engineers for data ingestion and ensure smooth integration of data from multiple sources
- Administer and maintain graph database solutions, including both Semantic and Property Graphs
- Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems.
3. Data Quality and Governance:
- Ensure the quality, accuracy, and consistency of ontologies, and knowledge graphs.
- Define and implement data governance processes and standards for ontology development and maintenance.
4. Collaboration And Communication:
- Collaborate with internal engineering teams to align data architecture with Gen AI capabilities
- Leverage on AI techniques by aligning knowledge models with RAG pipelines and agent orchestration
- Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions.
- Research and Innovation: Stay up to date with the latest advancements in the field of NLP, LLM and machine learning and proactively identify opportunities to leverage new technologies for improved solutions.
Experience:
- 4–6 years of industrial experience in AI [OR] Data Science [OR] Data Engineering.
- 2–3 years of hands-on experience building ontologies and knowledge systems.
- Proficiency with graph databases such as Neo4j, GraphDB [RDF based].
- Understanding of semantic standards like OWL, RDF, W3C and property graph approaches.
- Familiarity with Gen AI concepts including retrieval-augmented generation and agent-based AI.
- Required Knowledge/Skills, Education, and Experience:
- Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field, or a specialization in natural language processing is preferred.
- Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL.
- Proficiency in Python and other programming languages used for data engineering.
- Experience with NLP and GEN AI based Frameworks [Langchain, Langgraph]
- Good working project experience in cloud computing i.e., AWS/ Azure/GCP cloud Services including VPCs, EBS, ALBs, NLBs, EC2, S3, and so on so forth.
- Coordinate all QA/QC activities with the Project Manager.
- Implement the QA/QC management system and monitor on approved site QC Plan at the site.
- Reviewing of the site purchase orders to ensure that the applicable are meeting as per desire criteria.
- The control and completion of vendor inspection assignment packages onsite and offsite as well.
- The coordination and resolution of any nonconforming products reviewing vendors QA/QC System in accordance with contractual requirement.
- Attendance at the site and inspection procurements meetings.
- Coordinate with Quality Inspectors with all the site sub-contractors and vendor destructive testing on the site.
- Ensure all quality control documentation is compiled and competed for as built and hand over to The QC turns over Engineer.
- Attending weekly Meetings with projects and coordinate with management and site construction manager to discuss for quality issues and measures for improvements.
- Elaborate and ensure inspection, test programs and safety are adhered to at the site.
- Assure all technical documents related to the site quality control are current and approved status.
- Coordinate with commissioning department, customer’s representative to define the scope of work and other quality matters.
- Complete and coordinate the approval of the site’s QC technical submittal to sub-contractors.
- Review of supplier and contractor’s inspection & test plan against the milestone scope of the work.
- Coordinate all receipt inspection and distribute relevant QA/QC documentation to the site sub-contractors.
- Verify that the quality related site activities are in accordance with the applicable standards.
- Participate in the site internal and external Audits as per ISO 9001:2015.
- Familiar with Quality Assurance Principles and practice as per ISO 9001:2015 & control all non-conformance reports and undertake remedial action, Complete site quality control instructions and action remedial responses.
- Ensure all quality control documentation is compiled and competed for as built hand over to the QC turn over engineer.
- Conduct Internal & External Audit within the own Quality management system and EPC and Subcontractors as well as per ISO and prepare Audit assessment reports.
- Involve in Pre commissioning & Commissioning activities of 11,36,66 132 KV Switchgears and Transformers as specification and vendor recommendations.
- Review and maintained all EPCC and Subcontractors
- CONTRACTOR approvals and certification items as below:
- Mill certificates, welding test certificates, welding materials approval reports and certificates of the conformity CIVIL Engineering and execution, Electrical Equipment’s, Instrumentation Parameters and Equipment’s Installation and Commissioning, Piping pressure equipment’s and fire resistance. Etc.
- We don’t need superheroes, just super minds.
- Bachelor’s degree in electrical / mechanical engineering as a minimum,
- Proven experience of at least 8-10 years within Oil & Gas industry with international companies.
- Knowledge in Materials Selection and Specification, Degradation and Corrosion Control System Design and Management, Investigation of Equipment Failure
- Skilled in Asset Integrity and Repair Assessments, Non-Destructive Testing (NDT), Field Inspection (Facilities, Equipment, Materials, and Corrosion)
- Knowledge of Mechanical E House structure and fabricators globally.
How To Apply For Siemens Jobs 2025
Eligible candidates apply this drive in online by the following the link ASAP. Venue details will be shared to shortlisted candidates through e-mail.
To Apply Ontology Expert & Knowledge Graph Engineer : Apply Now
To Apply Lead Engineer- Design and Development : Apply Now
For Quality Engineer - Oil & Gas Projects : Apply Now
Subscribe Here (Check Your Email To Activate Confirmation Link)
Note:– Only shortlisted candidates will receive the call letter for further rounds
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