Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is on-site.
Proficiency in Python and its data science ecosystem (e.g., NumPy, pandas, matplotlib, seaborn, scikit-learn, TensorFlow and/or Keras) is required, along with 3-4 years of hands-on experience in data science focusing on Natural Language Processing and Computer Vision. Strong coding practices, Git, SQL, and excellent communication skills are also essential.
Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and Employee-Assistance-Program (EAP).
This information is not specified in the job description.
A strong candidate has 3-4 years of data science experience in NLP and Computer Vision, proficiency in Python data science tools, strong coding practices with Git and SQL, and excellent communication skills. Nice-to-haves like Azure ML, LLMs, spaCy, Hugging Face, and collaborative experience strengthen applications.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.