Dein persönlicher KI-Karriere-Agent
Data Scientist(m/w/x)
End-to-end AI/ML solution delivery on GCP, deploying and iterating production models. 2+ years delivering production AI/ML solutions and hands-on GCP experience required. Standard hybrid work model.
Anforderungen
- Degree in Computer Science, Statistics, Mathematics, or similar
- 2+ years delivering production AI/ML solutions
- Hands-on experience with GCP for data and ML
- Strong Python and SQL skills
- Ability to write testable, efficient code
- Experience building robust data and model pipelines
- Solid ML foundations and experimentation skills
- Practical GenAI and agentic AI experience
- Reliability and ownership mindset
- Clear communication with non-technical stakeholders
- Mentoring and teamwork skills
- Fluent English and German skills
Aufgaben
- Deliver end-to-end AI/ML solutions in GCP
- Define problems and deploy production-grade models
- Monitor and iterate on deployed solutions
- Partner with leaders to select high-impact use cases
- Define success metrics and report on progress
- Build data pipelines using BigQuery and Vertex AI
- Manage batch and real-time workloads
- Automate testing and deployment for stable rollouts
- Design GenAI features and agentic workflows
- Create reusable code and quality playbooks
- Mentor teammates and share best practices
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- GCP
- BigQuery
- Vertex AI
- Dataflow
- Beam
- Cloud Run
- Cloud Functions
- CI/CD
- Python
- SQL
- LLMs
- RAG
Benefits
Flexibles Arbeiten
- Standard Hybrid Model
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Data Scientist(m/w/x)
End-to-end AI/ML solution delivery on GCP, deploying and iterating production models. 2+ years delivering production AI/ML solutions and hands-on GCP experience required. Standard hybrid work model.
Anforderungen
- Degree in Computer Science, Statistics, Mathematics, or similar
- 2+ years delivering production AI/ML solutions
- Hands-on experience with GCP for data and ML
- Strong Python and SQL skills
- Ability to write testable, efficient code
- Experience building robust data and model pipelines
- Solid ML foundations and experimentation skills
- Practical GenAI and agentic AI experience
- Reliability and ownership mindset
- Clear communication with non-technical stakeholders
- Mentoring and teamwork skills
- Fluent English and German skills
Aufgaben
- Deliver end-to-end AI/ML solutions in GCP
- Define problems and deploy production-grade models
- Monitor and iterate on deployed solutions
- Partner with leaders to select high-impact use cases
- Define success metrics and report on progress
- Build data pipelines using BigQuery and Vertex AI
- Manage batch and real-time workloads
- Automate testing and deployment for stable rollouts
- Design GenAI features and agentic workflows
- Create reusable code and quality playbooks
- Mentor teammates and share best practices
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- GCP
- BigQuery
- Vertex AI
- Dataflow
- Beam
- Cloud Run
- Cloud Functions
- CI/CD
- Python
- SQL
- LLMs
- RAG
Benefits
Flexibles Arbeiten
- Standard Hybrid Model
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Sunrise GmbH
Branche
Telecommunications
Beschreibung
Das Unternehmen bietet eine moderne Ausbildung in der Plattformentwicklung und fördert Innovation in der IT-Branche.
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