Machine Learning Product Specialist

Machine Learning Product Specialist in Cambridge, MA

Adecco Direct Hire Division is currently recruiting candidates for a Machine Learning Product Specialist in Cambridge, MA for a premier technology company, providing information engines that power some of the world’s most important applications. Our client is a very profitable, privately held company, providing technology solutions for more than 40 years. The Machine Learning Product Specialist will be the subject matter expert focused on machine learning, and ensure support of a new generation of massively scalable, interoperably, and analytical applications.

Responsibilites of Machine Learning Product Specialist in Cambridge, MA
- Hands-on data science technical work
- Use business experience to bring in relevant market problems, synthesize them into actionable patterns, and work across multiple groups to create winning solutions
- Participate in analyst briefings, symposiums, conferences and other market facing opportunities


Qualifications for Machine Learning Product Specialist in Cambridge, MA
- Experience with one or more of the leading Machine Learning Frameworks: Keras, TensorFlow, SciKit-Learn, Caffe
- Experience working with technologies in the Machine Learning/Big Data ecosystem
- Experience in one or more of the leading Machine Learning languages: R, Python, Scala, Java, C++
- Product development or technical product management experience
- Strong prototyping and demo-building skills
- Master's degree in Computer Science or a related technical technical field PREFERRED
- Practical experience with one of the following technologies: NLP, image analysis/recognition, recommendation systems PREFERRED

If you meet the above qualifications and would like to apply for this position, please click APPLY NOW and upload your most current resume. You may email your resume to our recruiter, Kaye Cross, Kaye.Cross@adeccona.com. Questions regarding this position can be addressed by emailing or calling 603.373.4114. Thank you in advance for applying, however, only qualified candidates will be contacted.

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Reference number US_EN_2_020056_139046