Applied Data Scientist

Siemens Mobility; Livonia (MI); Hybrid; USD 110,000 - 198,000; Full time

Benefits offered by this job

Health and wellness benefits

Hybrid/remote work flexibility

Job summary

Siemens Software in the United States is seeking an experienced AI Developer specializing in Large Language Models, ontologies, and knowledge graphs to design AI-driven knowledge discovery and retrieval solutions. You will build scalable NLP pipelines, apply state-of-the-art LLM techniques, and work with Python, TensorFlow/PyTorch, and graph databases to deliver production-ready features.

The role offers hybrid work, competitive salary, and comprehensive benefits, with emphasis on collaboration

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 6-10+ years of professional experience including SDLC.
• 3-5 years developing AI applications with LLMs and NLP techniques.
• Strong background in knowledge representation and semantic technologies (ontologies, RDF, OWL, SPARQL).
• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Research and apply advancements in knowledge representation, LLMs, and semantic search to enhance capabilities.
• Document development processes, architecture, and APIs for maintainability and knowledge sharing.

Skills

AI development

Knowledge representation

Python

NLP

Communication

Education

Bachelor’s or Master’s in CS/AI

Tools

TensorFlow

PyTorch

SPARQL

Neo4j

RDF/OWL

Job description

• Cincinnati - Ohio - United States of America
• Livonia - Michigan - United States of America

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.

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 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

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

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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.