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Machine Learning / Data Scientist / Co-Founder

No salary • 2.0% – 7.0%
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We are currently seeking high quality engineers for a variety of positions. Our projects include developing complex, web client server applications; developing mobile device applications and prototypes; developing Big Data and machine learning solutions; db design and prototyping complex distributed command and control network applications. These projects require experience in modern web technologies and software development approaches.

If you are a sharp, experienced engineer with demonstrated big data capabilities in deploying and implementing machine learning and analytical solutions big data technology stacks we want to hear from you

· Establish and maintain a big data architecture in support of several customer projects
· Be the engineering point-person for big data, ingest, and analytical capabilities and technologies
· Maintain awareness of the current and emerging capabilities in big data and analytics technologies and how these apply to our customers
· Develop captivating solutions by collaborating with customers and development team
· Document use cases, solutions, & recommendations to customers

· BS in Computer Science, equivalent degree, or previous work experience
· Experience designing, developing, training, tuning, and deploying learning models in current AI framework (Tensorflow, Theano, Caffe, Spark MLib, etc.)
· Experience designing, developing, and deploying analytics in Spark, MapReduce, and related BigTable technologies
· Software development in Java, Python, and R
· Understanding in Linux operating systems, distributed systems, and databases (NoSQL and relational)
· Excellent understanding of ETL and data analytics platforms
· Experience understanding and decomposing system level requirements into discrete and measurable tasks
· Experience with Agile Methodologies
· Strong knowledge of the installation, configuration, and maintenance cloud computing and big data infrastructure to include Hadoop, Accumulo, Kafka, Spark, Elasticsearch, Puppet, Ansible, Lucene, and related technologies
· Experience with continuous integration and continuous deployment using Atlassian products
· Experience with Atlassian products
· Extensive experience with Model Transfer techniques and methodologies
· Experience with ML on sparse data sets
· Knowledge of cloud computing infrastructure such as: Amazon Web Services EC2 & Elastic MapReduce
· Experience creating big data solutions using public, private, and hybrid cloud approaches
· Experience with integration methodologies and tools for big data applications and services
· Experience with the Red Disk environment
· Experience with data quality and data profiling tools

Shoplr at a glance

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Shoplr focuses on Enterprise Software, E-Commerce, Mobile Commerce, and Social Commerce. Their company has offices in San Francisco and Amsterdam. They have a small team that's between 1-10 employees.

You can view their website at http://www.shoplr.co or find them on Twitter, Facebook, and LinkedIn.

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