Siemens Recruitment 2025 | Ontology Expert & Knowledge Graph Engineer & Software Engineer | Immediate Joiners | Apply Now

 

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.


Software Engineer

Job Description  : 

This role is based in Pune/Bangalore and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

We are looking for a Software Engineer:

  • Strong knowledge in Model based software development using Scade Suite/iConL/LabVIEW
  • At least 2-4 years of experience in development of safety critical applications.
  • Hands-on experience in data acquisition systems/ data recorders.
  • Good understating on safety standards/guidelines like EN 50128 or DO-178B/C or similar.
  • Knowledge of protocols like CAN, RS 422,Ethernet, SDTv2 etc
  • Knowledge of ATP systems (e.g. ETCS, LZB, PZB).
  • Have experience with agile development methodologies and tools, preferably SCRUM.
  • Strong analytical and problem-solving skills.
  • Should be good in C/C++.
  • Excellent communication skills in English. (German language -good to have.)
Desired Skills :
  • Strong Communication skills.
  • Analytical and problem-solving skills
Your success is grounded in:
  • Experience in Quality Management Systems and Business Continuity Management System audits.
  • Experienced in RCA and CAPA for escalation management and audit findings.
  • Experienced in coordinating and supporting implementation of multiple process improvement projects.
  • Experience in analyzing, modeling, and interpreting large data sets for diagnostic and predictive analysis.
  • Experience in implementing End to End process improvement projects.
  • Exposure to working in International projects and comfortable with international cultural diversity.
  • Excellent communication, interpersonal, coaching/mentoring and collaboration/influencing skills.
  • Able to read/interpret electrical circuit diagrams.
  • Strong Knowledge of Microsoft Office.
  • ISO 9001 2015 QMS trained or certified.
  • LSSBB (Lean Six Sigma Black Belt) Certified or Trained.
  • Trained in Power BI, Minitab, R, Tableau, Python, SQL and other data analytics tools preferred.
  • Knowledge of Tools for Project Management, Metrics, Dashboards.
  • Knowledge of ISO 14001, ISO 45001 and ISO 27001 would be a plus.

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 Software Engineer Apply Now

For Test Professional (Graduate Trainee Engineer) _PL 11 : 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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