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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

WHAT YOU WILL BE DOING
· 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

WHAT ARE WE LOOKING FOR:
· 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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