Database Management (Machine Learning)
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Database Management (Machine Learning)
Ref No.: 18-01618
Location: Houston, Texas
Position Type:Right to Hire
: This role will require exceptional data modelling and analytical skills as well as proven experience in pioneering machine learning approaches with superior predictive power.

You will work closely with the product owner, engineering teams as well as legal specialists with deep regulatory knowledge to formulate, implement and test machine learning and natural language processing models. You will be highly pragmatic, balancing algorithmic complexity, execution time and parallelization to ensure that the solution is scalable across an enterprise with large amounts of structured and unstructured data.
The ideal candidate for this role will be capable of looking beyond the standard machine learning algorithms and partner with the wider team to create hybrid knowledge management solutions.
Required Skills
• Advanced Degree or Degree in Computer Science, Mathematics, Engineering or other quantitative discipline.
• Experience developing and applying machine learning methodology for solving complex applied problems preferably in the legal informatics domain
• Excellent understanding of machine learning techniques and algorithms including how to select the optimum learning procedure and hyperparameters
• Outstanding statistical, analytical and modelling skills. Able to solve classification, regression, clustering and reinforcement learning problems.
• Experience with common data science toolkits and libraries, such as scikit-learn, Theano, Spark MLlib, H2O, TensorFlow, Weka, NumPy, etc. Excellence in at least one of these is highly desirable.
• Solid experience using Linux, Scala, Python, R and Java
• Flexible thinker with an entrepreneurial mind-set
• Working knowledge of UML usage for Process, Class, Data and Domain modelling
Desirable Skills
• Working knowledge of semantic web technologies (RDF, SKOS, SPARQL and OWL)
• Experience with Natural Language Processing frameworks such as GATE, Apache UIMA or Stanford NLP
• Experience with NoSQL databases such as MongoDB, Cassandra, HBase etc.
• Experience with data visualization libraries such as D3, GGPlot etc.