Machine Learning / Data Engineer at Jun Group
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

150000.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Google Cloud, Python, Sql, Data Products, Scikit Learn, Aws

Industry

Information Technology/IT

Description

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We’re passionate about making advertising better for everyone through our consent-based approach that empowers the world’s largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind.
We are looking for a Machine Learning / Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.

PREFERRED SKILLS AND EXPERIENCE

  • You have hands-on experience implementing production machine learning systems at scale in Python
  • Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn
  • Familiarity with ML tools like MLFlow, Ray Serving
  • Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis
  • Familiarity with AWS and Google Cloud big data products
Responsibilities
  • Contribute to exciting greenfield projects
  • Develop data pipelines supporting ML model development and applications
  • Experiment with emerging technologies and contribute to designing new ML models and systems
  • Collaborate with our server engineering team to improve our existing machine learning models and tooling
  • Use Kanban to manage multiple releases per week
  • Maintain high code quality through code reviews and automated tests
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