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Product Merchandising using A.I

Machine Learning Engineer

$85k – $125k • 0.5% – 3.0%
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FIND Innovation Labs is seeking Machine Learning Engineers to join our Data Science team. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. content personalization, recommendation systems, text/sentiment classification/scoring, and demand forecasting. The position will involve working on exciting and innovative machine learning problems with both developers and machine learning/data scientists to optimize and implement efficient/scalable production level machine learning features into BRAIN (FIND's ML engine). Your contributions will be deployed and tested in the real world through more than 1100 e-commerce/brick and mortar store locations across North America.

Company Description:

FIND Predictive Retail Suite™ is a collection of cloud-based software designed to help brick and mortar retailers sell more merchandise faster. Each FIND product in the suite can work independently or can be bundled to provide a more comprehensive experience for the retailer.

FIND Market™ leverages AI personalization algorithms to dynamically group like-minded customers based on their purchasing behavior and puts them into clusters to help improve marketing and customer experience.

FIND Plan™ provides a platform that predicts your future product plans with the ability to adjust any parameters of the planning process from budget to margins to the product level.

Required Qualifications:

* MS or Ph.D. degree in Computer Science or related quantitative field
Professional experience with Python and SQL
* 2+ years of experience in one or more of the following areas: time-series forecasting, recommendation systems, pattern recognition
* 1+ years of professional software development experience
* Experience architecting data models and munging data from SQL and NoSQL databases
* Experience with REST-based API development and JSON data formats.
* Exploit modern parallel environments efficiently (e.g. distributed clusters, multicore SMP, and GPU) to extract/update features.

Preferred Qualifications:

* Experience with one deep learning frameworks such as Keras or PyTorch
* Experience with distributed training of deep neural networks - data parallelism, model parallelism, distributed task execution frameworks
* Experience with designing and implementing cloud-based services
* Experience with building distributed/scalable systems to handle large data sets
* Experience with AWS, MongoDB, MySQL, Redis
* Experience with containers (Docker) and container orchestration is a plus

FIND Innovation Labs at a glance

Product Merchandising using A.I

FIND Innovation Labs focuses on Machine Learning, Social Commerce, Retail Technology, and Personalization. Their company has offices in Vancouver. They have a small team that's between 11-50 employees.

You can view their website at https://www.myfind.ai or find them on Twitter, Facebook, and LinkedIn.

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