Plm Data Scientist Jobs (NOW HIRING)

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
We are seeking an experienced AI Developer with expertise in Large Language Models (LLMs), ontologies, and knowledge graphs to join our team. This role will focus on developing AI-driven solutions that leverage LLMs, ontologies, and semantic knowledge representation to improve knowledge discovery, question-answering, and information retrieval. The ideal candidate will be skilled skilled in:

• Building scalable and intelligent systems and is passionate about semantic technologies and AI innovation.
• Implementing and optimizing NLP models, algorithms, and processing pipelines to ensure efficient, scalable, and accurate performance.
• Researching and applying the latest advancements in knowledge representation, LLMs, and semantic search technologies to enhance the application's capabilities.
• Documenting development processes, architecture, and APIs to ensure maintainability and knowledge sharing.

Qualifications:

• Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field.

• 6-10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC)

• 3 - 5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques.

• Strong background in knowledge representation and semantic technologies, including ontologies, RDF, OWL, and SPARQL.

• Proficiency in programming languages like Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

• Excellent analytical and problem-solving skills, with a keen attention to detail.

• Strong communication skills and the ability to work collaboratively in a cross-functional team environment.

Preferred Skills:

• Experience with retrieval-augmented generation (RAG) frameworks or applications.

• Experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph construction.

• Familiarity with data integration, data cleaning, and linking methodologies.

• Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI models in production.

• Familiarity with knowledge base management, content indexing, and search optimization techniques.

• Understanding of data governance, privacy, and security practices in the context of knowledge graphs and AI.

Compensation & Benefits:
The salary range for this position is $109,800 to $197,700 and this role is eligible to earn incentive compensation (5-10%). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
A collection of over 377,000 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 creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday
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You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $109,800 - $197,700 annually. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
Pay Transparency
Siemens follows Pay Transparency laws.
Application Deadline
This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.
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Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.