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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kotlin
- Java
- TensorFlow
- PyTorch
- AWS
- AWS Athena
- AWS Sagemaker
- AWS Spectrum
- AWS Kinesis
- Spark
- Apache Airflow
Benefits
Bonuses & Incentives
- Annual bonus up to 25%
Additional Allowances
- Train and conference budget
Learning & Development
- Free access to Udemy courses
Healthcare & Fitness
- Health insurance
Other Benefits
- Life insurance
Modern Equipment
- 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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kotlin
- Java
- TensorFlow
- PyTorch
- AWS
- AWS Athena
- AWS Sagemaker
- AWS Spectrum
- AWS Kinesis
- Spark
- Apache Airflow
Benefits
Bonuses & Incentives
- Annual bonus up to 25%
Additional Allowances
- Train and conference budget
Learning & Development
- Free access to Udemy courses
Healthcare & Fitness
- Health insurance
Other Benefits
- Life insurance
Modern Equipment
- MacBook Pro
- Necessary work accessories
About the Company
OLX
Industry
Retail
Description
The company builds a more sustainable world through trade, making it safe and convenient to buy and sell various goods.
Not a perfect match?
- Axel Springer News Media National
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