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Principal Machine Learning Engineer (Search Platform)(m/w/x)
Designing and productionizing LLM/GenAI-based discovery systems for a global trade platform. Expertise in search, relevance, representation learning, and GenAI production at scale required. Annual bonus up to 25%, dedicated training and conference budget.
Anforderungen
- Residency in Germany and global collaboration
- Strategic and hands-on technical leadership
- Expertise in search, relevance, and representation learning
- Experience productionizing ML solutions at scale
- Background in Generative AI and LLMs
- Ability to lead cross-functional initiatives
- Proficiency in Python, Kotlin, or Java
- Experience with TensorFlow or PyTorch
- Understanding of data pipelines and distributed systems
- Analytical, communication, and stakeholder management skills
- Passion for search, relevance, and personalization
- Experience with cloud-based production tools (Advantageous)
- Experience building large-scale data pipelines (Advantageous)
- Experience with workflow orchestration platforms (Advantageous)
- Experience driving Data Science Tech agendas (Advantageous)
Aufgaben
- Drive the technical vision for AI-powered search
- Design LLM and GenAI-based discovery systems
- Define unified strategies for search and ranking
- Guide cross-functional teams of engineers and scientists
- Prototype and productionize new machine learning models
- Optimize embedding-based retrieval and personalization
- Collaborate with product teams on success metrics
- Integrate models with A/B testing pipelines
- Mentor data scientists across global hubs
- Implement solutions using Python and AWS
- Explore state-of-the-art advances in search infrastructure
- Foster a culture of innovation and rapid iteration
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Kotlin
- Java
- TensorFlow
- PyTorch
- AWS
- AWS Athena
- AWS Sagemaker
- AWS Spectrum
- AWS Kinesis
- Spark
- Apache Airflow
Benefits
Boni & Prämien
- Annual bonus up to 25%
Sonstige Zulagen
- Train and conference budget
Weiterbildungsangebote
- Free access to Udemy courses
Gesundheits- & Fitnessangebote
- Health insurance
Sonstige Vorteile
- Life insurance
Moderne Technikausstattung
- MacBook Pro
- Necessary work accessories
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Principal Machine Learning Engineer (Search Platform)(m/w/x)
Designing and productionizing LLM/GenAI-based discovery systems for a global trade platform. Expertise in search, relevance, representation learning, and GenAI production at scale required. Annual bonus up to 25%, dedicated training and conference budget.
Anforderungen
- Residency in Germany and global collaboration
- Strategic and hands-on technical leadership
- Expertise in search, relevance, and representation learning
- Experience productionizing ML solutions at scale
- Background in Generative AI and LLMs
- Ability to lead cross-functional initiatives
- Proficiency in Python, Kotlin, or Java
- Experience with TensorFlow or PyTorch
- Understanding of data pipelines and distributed systems
- Analytical, communication, and stakeholder management skills
- Passion for search, relevance, and personalization
- Experience with cloud-based production tools (Advantageous)
- Experience building large-scale data pipelines (Advantageous)
- Experience with workflow orchestration platforms (Advantageous)
- Experience driving Data Science Tech agendas (Advantageous)
Aufgaben
- Drive the technical vision for AI-powered search
- Design LLM and GenAI-based discovery systems
- Define unified strategies for search and ranking
- Guide cross-functional teams of engineers and scientists
- Prototype and productionize new machine learning models
- Optimize embedding-based retrieval and personalization
- Collaborate with product teams on success metrics
- Integrate models with A/B testing pipelines
- Mentor data scientists across global hubs
- Implement solutions using Python and AWS
- Explore state-of-the-art advances in search infrastructure
- Foster a culture of innovation and rapid iteration
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Kotlin
- Java
- TensorFlow
- PyTorch
- AWS
- AWS Athena
- AWS Sagemaker
- AWS Spectrum
- AWS Kinesis
- Spark
- Apache Airflow
Benefits
Boni & Prämien
- Annual bonus up to 25%
Sonstige Zulagen
- Train and conference budget
Weiterbildungsangebote
- Free access to Udemy courses
Gesundheits- & Fitnessangebote
- Health insurance
Sonstige Vorteile
- Life insurance
Moderne Technikausstattung
- MacBook Pro
- Necessary work accessories
Über das Unternehmen
OLX
Branche
Retail
Beschreibung
The company builds a more sustainable world through trade, making it safe and convenient to buy and sell various goods.
Noch nicht perfekt?
- Axel Springer News Media National
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