Thomson Reuters
Research Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
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THThomson Reuters
Senior Research Engineer(m/w/x)
Zug
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building large-scale data processing pipelines for machine learning and scalable systems for online delivery environments at content and tech provider for legal, tax, and compliance professionals. 2 years Machine Learning product experience required. 8 weeks work-from-anywhere option.
Anforderungen
- Degree in Computer Science or equivalent
- 5 years software engineering experience
- 2 years Machine Learning product experience
- Deep understanding of Python ecosystems
- Ability to write clean, maintainable code
- Quick adoption of emerging technologies
- Experience translating research into production
- Interest in real-world applications
- Experience with cloud computing development
- Experience with Agile Methodologies
- Experience implementing CI/CD and DevOps
- Integrating Generative AI into software
- Understanding of ModelOps and MLOps
- Exposure to Natural Language Processing
- Ability to translate research and engineering
- Experience in Java, Rust, or Scala
Aufgaben
- Apply modern software development practices throughout the entire lifecycle
- Build, test, and deliver high-quality technical solutions
- Create large-scale data processing pipelines for machine learning
- Develop high-performing scalable systems for online delivery environments
- Partner with cross-functional and remote teams in an agile environment
- Contribute innovative ideas and experiment with new technologies
- Communicate technical ideas effectively to diverse stakeholders
- Translate research work into production-ready software solutions
- Implement CI/CD, DevOps, and SDLC concepts in application delivery
- Integrate machine learning and generative AI into production software
- Apply ModelOps and MLOps principles to engineering workflows
- Solve NLP problems including NER, information extraction, and summarization
- Bridge the gap between research methodologies and engineering fields
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Cloud computing
- CI/CD
- DevOps
- Generative AI
- ModelOps
- MLOps
- Natural Language Processing (NLP)
- Java
- Rust
- Scala
- Typescript
Benefits
Flexibles Arbeiten
- Flexible hybrid working environment
- Flexible work arrangements
Workation & Sabbatical
- Work from anywhere 8 weeks
Weiterbildungsangebote
- Continuous learning and skill development
- Grow My Way programming
Mehr Urlaubstage
- Flexible vacation
Mentale Gesundheitsförderung
- Two company-wide Mental Health Days
- Access to Headspace app
- Mental, physical, and financial wellbeing resources
Betriebliche Altersvorsorge
- Retirement savings
Sonstige Zulagen
- Tuition reimbursement
Boni & Prämien
- Employee incentive programs
Sinnstiftende Arbeit
- Two paid volunteer days off
Gemeinnützige Ausrichtung
- Pro-bono consulting projects
Fokus auf Nachhaltigkeit
- ESG initiatives
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Thomson Reuters 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.
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Senior Research Engineer(m/w/x)
Zug
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building large-scale data processing pipelines for machine learning and scalable systems for online delivery environments at content and tech provider for legal, tax, and compliance professionals. 2 years Machine Learning product experience required. 8 weeks work-from-anywhere option.
Anforderungen
- Degree in Computer Science or equivalent
- 5 years software engineering experience
- 2 years Machine Learning product experience
- Deep understanding of Python ecosystems
- Ability to write clean, maintainable code
- Quick adoption of emerging technologies
- Experience translating research into production
- Interest in real-world applications
- Experience with cloud computing development
- Experience with Agile Methodologies
- Experience implementing CI/CD and DevOps
- Integrating Generative AI into software
- Understanding of ModelOps and MLOps
- Exposure to Natural Language Processing
- Ability to translate research and engineering
- Experience in Java, Rust, or Scala
Aufgaben
- Apply modern software development practices throughout the entire lifecycle
- Build, test, and deliver high-quality technical solutions
- Create large-scale data processing pipelines for machine learning
- Develop high-performing scalable systems for online delivery environments
- Partner with cross-functional and remote teams in an agile environment
- Contribute innovative ideas and experiment with new technologies
- Communicate technical ideas effectively to diverse stakeholders
- Translate research work into production-ready software solutions
- Implement CI/CD, DevOps, and SDLC concepts in application delivery
- Integrate machine learning and generative AI into production software
- Apply ModelOps and MLOps principles to engineering workflows
- Solve NLP problems including NER, information extraction, and summarization
- Bridge the gap between research methodologies and engineering fields
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Cloud computing
- CI/CD
- DevOps
- Generative AI
- ModelOps
- MLOps
- Natural Language Processing (NLP)
- Java
- Rust
- Scala
- Typescript
Benefits
Flexibles Arbeiten
- Flexible hybrid working environment
- Flexible work arrangements
Workation & Sabbatical
- Work from anywhere 8 weeks
Weiterbildungsangebote
- Continuous learning and skill development
- Grow My Way programming
Mehr Urlaubstage
- Flexible vacation
Mentale Gesundheitsförderung
- Two company-wide Mental Health Days
- Access to Headspace app
- Mental, physical, and financial wellbeing resources
Betriebliche Altersvorsorge
- Retirement savings
Sonstige Zulagen
- Tuition reimbursement
Boni & Prämien
- Employee incentive programs
Sinnstiftende Arbeit
- Two paid volunteer days off
Gemeinnützige Ausrichtung
- Pro-bono consulting projects
Fokus auf Nachhaltigkeit
- ESG initiatives
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Thomson Reuters 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.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Thomson Reuters
Branche
Legal
Beschreibung
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
Noch nicht perfekt?
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