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Inuvo, Inc: Data Engineer

Inuvo, Inc

This is a Full-time position in Montreal, QC posted February 19, 2021.

Originally developed in a machine learning lab at UCLA, INUVO is one of few companies that have successfully developed, patented and deployed artificial intelligence technology that replicates the model of the brain as library and the neurons as books in that library.

This technology is the centerpiece of a system that analyzes 100 billion transactions daily.

Want to learn more?

For the right Engineer, we are providing an opportunity to join a highly talented and growing data science team.

Ideal candidates will be exceptional problem solvers, militant about the quality of their work, skilled across technologies and can work collaboratively remotely.Primary Responsibilities: Participate as lead member of our Engineering team, reporting to a Director of Data Engineering.

Contribute to the design, implementation, and deployment of high performance and highly scalable data platform applications.

Lead the development effort for our media and publisher product components.

Specifically related to user targeting, user-segment, and audience creation.

Be involved in the design and development of large-scale data analytics tools.

Need to be comfortable and effective working remotelyRequirements MS/PhD in Computer Science, Statistics, Engineering, or related technical field.

5+ years of software development experience including Java applications.

3+ years of experience in data mining, information retrieval, large-scale statistical analysis, machine learning or related field.

Experience with large-scale data processing including Spark and Hadoop.

Experience with data structure optimization and scalability of algorithms.

Proven track record of working on complex modular projects, and assuming a leading role in such projects.

Highly motivated, self-driven, capable of defining own design, and test scenarios.

Experience with ad-tech business and audience targeting is a plus.

Hands-on experience with Python and R is a plus.

Experience with Kafka, Hive, Sql and Shell scripting is a plus.

Solid communication skills Startup experience is a plus.