Applied Data Scientis

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

Position Overview

We are seeking a guide 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 is skilled in building scalable and intelligent systems and is passionate about semantic technologies and AI innovation. Implement and optimize NLP models, algorithms, and processing pipelines to ensure efficient, scalable, and accurate performance.

Research and apply the latest advancements in knowledge representation, LLMs, and semantic search technologies to improve the application's capabilities. Document development processes, architecture, and APIs to ensure maintainability and knowledge sharing.

Responsibilities

• 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 content indexing, and search optimization techniques.
• Understanding of data governance, privacy, and security practices in the context of knowledge graphs and AI.

Preferred Qualification

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

Required Knowledge/Skills, Education, and Experience

• 6-10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC)
• 3 - 5 years of validated experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques.
• 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 interpersonal skills and the ability to work collaboratively in a multi-functional team environment.
• 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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