FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
VEVeeva Systems
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Leveraging genAI for web research and task automation in AWS/GCP. Production deployment and genAI framework experience required. Fitness reimbursement, charitable giving program.
Anforderungen
- Ability to take ideas into production at scale
- Experience in genAI frameworks and agentic development
- Experience with asynchronous and batch APIs
- Professional software development skills
- Python programming skills
- Excellent debug abilities
- Cloud development experience
- Machine Learning Engineer experience
- Up-to-date knowledge of ML innovations and frameworks
- Infrastructure automation and provisioning experience
- Professional in ML Operationalization
- Data Engineering skills
- Data pipelines and ETLs experience
- Containerization experience
- Kubernetes experience
- Distributed computing experience for training and inference
- Strong collaboration skills
- Good verbal and written communication skills
- Experience in life/health science industry
- Big data technologies experience
- Vector databases experience
- NoSQL experience
- Familiarity with architectural choices for ML systems
- Crawling/Webscraping experience
- AI tools for crawling/webscraping experience
Aufgaben
- Leverage genAI for web research and task automation
- Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP
- Design, integrate, and optimize end-to-end AI pipelines
- Develop and manage ML infrastructure
- Develop and manage CI/CD pipelines for data products
- Provide engineering mentorship to data scientists
- Collaborate with ML engineers, data engineers/scientists, product, and operations teams
- Partner with data quality teams to develop data annotation pipelines
- Partner with data quality teams to develop data evaluation pipelines
- Partner with data quality teams to develop monitoring solutions
- Partner with data quality teams to develop dashboards
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Terraform
- Kubernetes
- Spark
- Vector databases
- NoSQL
Benefits
Gemeinnützige Ausrichtung
- Veeva charitable giving program
Gesundheits- & Fitnessangebote
- Fitness reimbursement
Sonstige Vorteile
- Life insurance
Betriebliche Altersvorsorge
- Pension fund
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Veeva Systems erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- FREENOW
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Vollzeitmit HomeofficeSeniorBerlin
VEVeeva Systems
Senior Machine Learning Engineer(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Leveraging genAI for web research and task automation in AWS/GCP. Production deployment and genAI framework experience required. Fitness reimbursement, charitable giving program.
Anforderungen
- Ability to take ideas into production at scale
- Experience in genAI frameworks and agentic development
- Experience with asynchronous and batch APIs
- Professional software development skills
- Python programming skills
- Excellent debug abilities
- Cloud development experience
- Machine Learning Engineer experience
- Up-to-date knowledge of ML innovations and frameworks
- Infrastructure automation and provisioning experience
- Professional in ML Operationalization
- Data Engineering skills
- Data pipelines and ETLs experience
- Containerization experience
- Kubernetes experience
- Distributed computing experience for training and inference
- Strong collaboration skills
- Good verbal and written communication skills
- Experience in life/health science industry
- Big data technologies experience
- Vector databases experience
- NoSQL experience
- Familiarity with architectural choices for ML systems
- Crawling/Webscraping experience
- AI tools for crawling/webscraping experience
Aufgaben
- Leverage genAI for web research and task automation
- Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP
- Design, integrate, and optimize end-to-end AI pipelines
- Develop and manage ML infrastructure
- Develop and manage CI/CD pipelines for data products
- Provide engineering mentorship to data scientists
- Collaborate with ML engineers, data engineers/scientists, product, and operations teams
- Partner with data quality teams to develop data annotation pipelines
- Partner with data quality teams to develop data evaluation pipelines
- Partner with data quality teams to develop monitoring solutions
- Partner with data quality teams to develop dashboards
Berufserfahrung
- 2 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Terraform
- Kubernetes
- Spark
- Vector databases
- NoSQL
Benefits
Gemeinnützige Ausrichtung
- Veeva charitable giving program
Gesundheits- & Fitnessangebote
- Fitness reimbursement
Sonstige Vorteile
- Life insurance
Betriebliche Altersvorsorge
- Pension fund
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Veeva Systems erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Veeva Systems
Branche
Pharmaceuticals
Beschreibung
The company is a pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
Noch nicht perfekt?
- FactoryPal
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - FREENOW
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Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - ZDF Sparks GmbH
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Vollzeitmit HomeofficeSeniorBerlin