Principal Engineer

V3 Staffing Solutions
  • Chennai, Hyderabad
  • Confidential
  • 5-10 years
  • Views
  • 28 Jun 2018

  • Software Design & Development

  • Consumer Durables/ Semi Durables
Job Description

Principal Engineer, Machine Learning Build a Product Information Marketplace with information about every product in the world Principal Engineer ML provides technical thought leadership on hard, business impacting problems.  Reporting directly into the VP of engineering, this role involves shaping the engineering/architecture vision the standpoint of delivering data science solutions.  As a subject matter expert, the incumbent is also responsible for mentoring data scientists and  Software Engineers in the team. What were looking for Mathematical maturity to critically analyse academic literature from venues such as KDD, ICDM, SDM, ICML and NIP Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ A scientific temperament that seeks to rigorously validate hypothesis/ideas. Ability and preference to work in a group rather than individually. Good at explaining/communicating complex ideas/concepts both verbal and written. Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Masters/Phd. in Computer Science/Statistics are a plus. Job Expectations Understand business needs and formulate formal problem definitions (with corresponding metrics). Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyse experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production. Desired Candidate Profile: Mathematical maturity to critically analyse academic literature from venues such as KDD, ICDM, SDM, ICML and NIP Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ A scientific temperament that seeks to rigorously validate hypothesis/ideas. Ability and preference to work in a group rather than individually. Good at explaining/communicating complex ideas/concepts both verbal and written. Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Masters/Phd. in Computer Science/Statistics are a plus. Job Expectations Understand business needs and formulate formal problem definitions (with corresponding metrics). Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyse experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production.


Job Posted By

Venkatesh
Core Recruiter

About Organisation

V3 Staffing Solutions