Nlp jobs in Germany
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AI Consultant - GenAI & NLP Public Sector (m/w/d)
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Wissenschaftlicher Mitarbeiter - Klinische NLP- und Datenanalyse (m/w/d)
Universitätsklinikum Heidelberg (UKHD)
Connect with headhunters to apply for similar jobsStudentische oder wissenschaftliche Hilfskraft für NLP Forschung
FZI Forschungszentrum Informatik
Pharmaziepraktikant*in im Bereich ICF FF NLP Production
Sanofi US
[Hiring] Machine Learning / NLP Engineer @Synthflow-locationid=fc0d455c 5cae 4e1b Be1d D67005a95c79
Synthflow?locationid=fc0d455c 5cae 4e1b Be1d D67005a95c79
AI Implementation Specialist (w/m/d)
Builtech Holding GmbH
/ Data Scientist NLP and Text Mining (f/m/d)
Digitaltreiber UG
Senior Machine Learning Engineer
Job summary
A leading European e-commerce platform in Berlin is seeking a Senior Machine Learning Engineer to develop and improve real-time recommendation engines for their advertisements. You will enhance the system's engineering aspects while collaborating with various teams. Ideal candidates have 3+ years of experience in high-load API development or large-scale data processing and are proficient in languages like Java and Python. Competitive compensation and excellent growth opportunities await.
Qualifications
- 3+ years of experience in high-load real-time API development or large-scale data processing.
- Expertise in concurrent programming or large-scale data processing.
- Good grasp in basic statistical concepts and Machine Learning.
Responsibilities
- Improve the real-time recommender system's engineering.
- Build and improve ML infrastructures to enhance innovation.
- Collaborate with cross-functional teams to create positive customer impact.
- Help define team objectives and improve self-organization.
- Mentor junior and mid-level team members.
Skills
Tools
As a Senior Machine Learning Engineer, you will develop and improve real-time recommendation engines for our Sponsored Product advertisements.
Every time a customer searches for products on Zalando, a bidding request is sent to our system in real-time. The system aggregates relevant data points, evaluates thousands of candidate ads with our machine learning models, and decides what product to show where – all within 10-30 ms. Every second, we score tens of thousands of ad contents
In this position, you will design, develop and run the recommendation engine that optimizes this process – with emphasis on high-load low-latency engineering techniques. The technical scope covers high-availability engineering, concurrent programming, network programming, distributed systems, distributed databases, large-scale data processing, stream processing, algorithm performance and system performance optimization.
- Improve our real-time recommender system, especially on engineering aspects (resource efficiency, reliability, maintainability etc.)
- Improve the pace of innovation and experimentation by building and improving ML infrastructures
- Collaborate with brilliant Product Managers, Data Scientists, Engineers and Analysts across Zalando to create positive customer impact together
- Help define our team’s objective. Continuously improve the self-organization of the team.
- Mentor and grow junior and mid-level members of the team
Zalando
- 3+ years of experience in a) high-load real-time API development or b) large-scale data processing. Experience in developing and running ML enabled systems is highly preferred
- Expertize in either a) concurrent programming (multi-threading), network programming, distributed databases, microservice architecture, or b) large-scale data processing (experience in stream processing is preferred)
- Good grasp in basic statistical concepts and Machine Learning (experience in modelling is NOT required)
- Experience in some of the following technologies Java, Python, Scala, C++, Go, Flink, Storm, Spark Streaming, Kafka, Spark, Presto, Redshift, Vertica, Airflow, numpy, scipy, scikit-learn
- Outcome-obsessed, pragmatic engineer who is relentlessly focused on creating positive customer impact
Mid Career (2+ years of experience)
Tagged as: Germany, Industry, Machine Learning, Recommendation System
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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