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Ebay Senior Machine Learning Engineer d/f/m 
Germany 
917877911

27.07.2024

What you will accomplish:

  • Designing, developing, and researching Machine Learning systems, models

  • Studying, transforming, and converting data science prototypes

  • Searching and selecting appropriate data sets before performing data collection and data modeling

  • Performing statistical analysis and using results to improve models

  • Training and retraining machine learning systems and models as needed, monitor quality of the models in production

  • Identifying differences in data distribution that could affect model performance in real-world situations

  • Visualizing data for deeper insights

  • Analyzing the use cases of machine learning algorithms and ranking them by their success probability

  • Enriching existing machine learning frameworks and libraries

  • Verifying data quality and/or ensuring it via data cleaning

What you will bring: ​

  • Proven experience in building machine learning models in computer vision or natural language processing related fields

  • Experience in modern ML tooling related to experiment management, containerization, orchestration, processing pipelines and data version control

  • Experience in bringing ML models in production, monitoring and maintaining them throughout their entire life cycle. Familiarity with DevOps and MLOps cultures

  • Proficient in Python for scripting and data manipulation tasks and software development best practices

  • Proficient in SQL for querying and managing databases

  • Strong analytical and problem-solving skills

  • Fluent spoken and written English

What Sets You Apart:

  • Proven track record in leading multi-functional teams and collaborating effectively with partners at different levels of the organization

  • Experience with PyTorch, Google Cloud, Kubeflow, AirFlow, ElasticSearch

  • A coaching & knowledge sharing mindset

  • Experience in working with crowdsourcing approaches for collecting datasets

  • Experience in mentoring junior positions and collaboration with data analytics or data engineers on the projects

  • Experience in working remotely

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