Job Summary
The Data Scientist – AI, LLM & Data Analytics will join the Inpixon team in Frankfurt, working in a hybrid model with regular in-office days each week.
This full-time role focuses on the development and deployment of Large Language Models (LLMs), the application of advanced AI technologies, and in-depth data analytics. The goal is to leverage complex datasets, extract actionable insights, and transform them into innovative, AI-driven product solutions.
Aufgaben
Duties/Responsibilities
LLM Development & Fine-Tuning: Train, optimize, and evaluate Large Language Models (e.g., GPT, LLaMA, Mistral, Claude).
AI Product Integration: Implement LLM-powered features and AI workflows into existing and new applications.
Data Analysis & Insight Generation: Analyze large and complex datasets (structured & unstructured) to support data-driven decision-making.
Data Engineering & Feature Engineering: Prepare, transform, and enrich datasets for analytics and model training.
Visualization & Storytelling: Build dashboards and reports to present analysis and AI results clearly to both technical and non-technical stakeholders.
AI Research & Innovation: Identify new use cases and opportunities for LLMs and data science methodologies.
Evaluation of AI & Analytics Tools: Select and benchmark tools and frameworks for performance, efficiency, and scalability.
Collaboration: Work closely with product management, engineering, data engineering, and other departments to define and implement AI strategies.
Qualifikation
Preferred Skills/Abilities
Degree in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field.
Strong experience with LLMs (training, fine-tuning, prompt engineering, RAG) and frameworks like Hugging Face Transformers, LangChain, or LlamaIndex.
Solid expertise in data analytics, statistics, and visualization (Python: Pandas, NumPy, matplotlib, Plotly; BI tools like Tableau or Power BI).
Experience with machine learning and natural language processing.
Proficiency in SQL and working with large-scale databases.
Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
Strong analytical and conceptual skills with the ability to clearly communicate complex concepts.
Excellent written and spoken English; German language skills are a plus.
Benefits
Hybrid working model with flexible home office days
Modern workplace environment with the latest tools and technology
Open and collaborative company culture with flat hierarchies
Join us on our journey – apply now and let’s shape the future together.