Ebay Senior Machine Learning Engineer d/f/m 

Germany 

917877911

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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