Machine Learning Engineer

Short Description

Numerify is hiring for Machine Learning Engineers, would be responsible for developing and packaging all phases of ML solutions right from data preparation, model training, scoring and insights visualization on modeler platform.

Job Description

Machine Learning Engineers would be responsible for developing and packaging all phases of ML solutions right from data preparation, model training, scoring and insights visualization on Numerify's own analytics modeler platform. In addition to advanced analytic skills, this role would require proficiency at integrating and preparing large datasets, distributed in-memory analytics and communicating results with rich visualizations. 

Skill-Set Required:
  • B.Tech / BE - Computer Science or MS in any quantitative field from a reputed university.
  • Hands-on experience in machine learning programming R, Java, Python, Scala.
  • Excellent knowledge of machine learning/data science concepts as well as practical application to industry problems.
  • Ability to adapt to scrum & agile methodology, comfortable with development tools like Jira/Confluence.
  • Experience with Spark Mlib, Python Deep-learning libraries, Dask etc would be a plus.
  • Knowledge of NLP/Text mining techniques and related open source tools.
  • Familiarity with data visualization libraries d3, Plotly, Highcharts, etc.
  • Knowledge of cloud architecture, distributed computing, object-oriented programming will be a plus.

Machine Learning Engineer
Mid-Senior-level Information Technology | Information | Technology Full-time Engineering | Information Technology | Other Python | Java | Machine Learning Engineer
Numerify is the #1 provider of IT business analytics applications for ServiceNow. We harness the power of the cloud to rapidly provide business insights to IT leaders. The Numerify360 cloud-native platform delivers system-of-record analytics for organizations to effectively manage their IT business with numbers they can trust. Founded in 2012 by industry veterans from Oracle, MicroStrategy, and Hyperion, and headquartered in Cupertino, CA, Numerify has received venture funding from Lightspeed Venture Partners and Sequoia Capital.

For more information, visit www.numerify.com or follow @numerify.
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