Applied Data Scientist

Job Family: Software

Req ID: 518983

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:

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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$109,800 $197,700

Organization: Digital Industries

Job Type: Full-time

Category: Research & Development

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