Data Scientist - AI / Gen AI
Simon-Kucher & Partners
Düsseldorf, Germany
8 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Remote
Berlin, Germany
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Databases
Continuous Integration
Distributed Systems
Python
Machine Learning
Modular Design
NumPy
TensorFlow
Software Engineering
SQL Databases
Reinforcement Learning
Data Processing
Feature Engineering
PyTorch
Large Language Models
Spark
Deep Learning
Pandas
Scikit Learn
Machine Learning Operations
Requirements
- You have 4+ years of experience as a Data Scientist and hold a degree in quantitative fields (e.g., Computer Science, Mathematics, Statistics).
- You have solid expertise in machine learning, including supervised, unsupervised, and reinforcement learning, along with experience in model evaluation, interpretability, and deployment.
- You are hands-on with deep learning and GenAI, working with transformers, LLMs, diffusion models, and multimodal AI.
- You know how to fine-tune models, design prompts, apply RAG, LoRA, or PEFT-and you understand their limitations, from hallucinations to alignment challenges.
- You are fluent in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and comfortable with MLOps tools like MLflow, Weights & Biases, Vertex AI, or SageMaker.
- You have strong skills in data handling, from preprocessing and feature engineering to building robust pipelines, and you've worked with large-scale data (SQL, Spark, distributed systems).
- You follow best practices in software engineering, including CI/CD, testing, and modular design.
- You may also bring extended expertise with vector databases and semantic search (Pinecone, Weaviate, FAISS), orchestration frameworks (LangChain, LlamaIndex), or cloud AI platforms such as AWS. Perhaps you've experimented with large-scale fine-tuning or explored multi-agent/autonomous AI workflows.
- Above all, you are curious, collaborative, and impact-driven, excited to take cutting-edge AI research and turn it into scalable, real-world solutions.
