Dein persönlicher KI-Karriere-Agent
Data Scientist – AI / Gen AI(m/w/x)
Building production-ready GenAI systems for commercial strategy consulting. Deep learning and model interpretability expertise required. Work from abroad, daycare allowance.
Anforderungen
- 4+ years of Data Scientist experience
- Degree in quantitative fields (Computer Science, Mathematics, Statistics)
- Solid expertise in machine learning
- Experience in model evaluation, interpretability, deployment
- Hands-on with deep learning and GenAI
- Working with transformers, LLMs, diffusion models, multimodal AI
- Model fine-tuning skills
- Prompt design skills
- RAG, LoRA, or PEFT application
- Understanding of model limitations (hallucinations, alignment)
- Fluent in Python
- Comfortable with MLOps tools
- Strong data handling skills
- Experience with large-scale data
- Follows software engineering best practices
- Extended expertise with vector databases and semantic search
- Experience with orchestration frameworks
- Experience with cloud AI platforms
- Experimented with large-scale fine-tuning
- Explored multi-agent/autonomous AI workflows
- Curious
- Collaborative
- Impact-driven
- Excited to turn AI research into scalable solutions
Aufgaben
- Develop and deliver AI and ML solutions
- Translate business challenges into practical use cases
- Build rapid prototypes
- Create production-ready AI systems
- Evaluate models using advanced metrics
- Implement human-in-the-loop guardrails
- Ensure model safety and reliability
- Build and scale applications with robust APIs
- Achieve low-latency performance
- Deploy applications reliably in real-world environments
- Champion responsible AI development
- Embed fairness, ethics, and privacy into development
- Integrate governance into every development stage
- Collaborate with product managers and engineers
- Identify high-impact AI opportunities
- Balance innovation with business feasibility
- Adapt GenAI advances into scalable solutions
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- scikit-learn
- PyTorch
- TensorFlow
- MLflow
- Weights & Biases
- Vertex AI
- SageMaker
- SQL
- Spark
- Pinecone
- Weaviate
- FAISS
- LangChain
- LlamaIndex
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working
- Work from abroad
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Frequent employee events
- World Meeting and Holiday Party
Noch nicht perfekt?
- FELD MVollzeit/TeilzeitRemoteBerufserfahrenMünchen, Berlin, Hamburg
- Diconium Germany GmbH
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Vollzeitmit HomeofficeBerufserfahrenMünchen, Berlin, Frankfurt am Main
Data Scientist – AI / Gen AI(m/w/x)
Building production-ready GenAI systems for commercial strategy consulting. Deep learning and model interpretability expertise required. Work from abroad, daycare allowance.
Anforderungen
- 4+ years of Data Scientist experience
- Degree in quantitative fields (Computer Science, Mathematics, Statistics)
- Solid expertise in machine learning
- Experience in model evaluation, interpretability, deployment
- Hands-on with deep learning and GenAI
- Working with transformers, LLMs, diffusion models, multimodal AI
- Model fine-tuning skills
- Prompt design skills
- RAG, LoRA, or PEFT application
- Understanding of model limitations (hallucinations, alignment)
- Fluent in Python
- Comfortable with MLOps tools
- Strong data handling skills
- Experience with large-scale data
- Follows software engineering best practices
- Extended expertise with vector databases and semantic search
- Experience with orchestration frameworks
- Experience with cloud AI platforms
- Experimented with large-scale fine-tuning
- Explored multi-agent/autonomous AI workflows
- Curious
- Collaborative
- Impact-driven
- Excited to turn AI research into scalable solutions
Aufgaben
- Develop and deliver AI and ML solutions
- Translate business challenges into practical use cases
- Build rapid prototypes
- Create production-ready AI systems
- Evaluate models using advanced metrics
- Implement human-in-the-loop guardrails
- Ensure model safety and reliability
- Build and scale applications with robust APIs
- Achieve low-latency performance
- Deploy applications reliably in real-world environments
- Champion responsible AI development
- Embed fairness, ethics, and privacy into development
- Integrate governance into every development stage
- Collaborate with product managers and engineers
- Identify high-impact AI opportunities
- Balance innovation with business feasibility
- Adapt GenAI advances into scalable solutions
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- Pandas
- scikit-learn
- PyTorch
- TensorFlow
- MLflow
- Weights & Biases
- Vertex AI
- SageMaker
- SQL
- Spark
- Pinecone
- Weaviate
- FAISS
- LangChain
- LlamaIndex
- AWS
Benefits
Flexibles Arbeiten
- Hybrid working
- Work from abroad
Kinderbetreuung
- Daycare allowance
Mitarbeiterrabatte
- Corporate discounts
Mentale Gesundheitsförderung
- Wellbeing support
Snacks & Getränke
- Healthy snacks and beverages
Team Events & Ausflüge
- Frequent employee events
- World Meeting and Holiday Party
Über das Unternehmen
Simon-Kucher
Branche
Consulting
Beschreibung
Das Unternehmen ist eine globale Unternehmensberatung, die Kunden bei der Optimierung ihrer Unternehmensstrategie unterstützt.
Noch nicht perfekt?
- FELD M
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