RJC320 | Machine Learning – PE

For leading Product Development Company 

Department: Machine Learning
Project Location(s): Chennai
Education: Computer Science/Statistics is a plus

Principal Engineer, Machine Learning


Build a Product Information Marketplace with information about every product in the world.Principal Engineer – ML at 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 We’re Looking For

  1. Mathematical maturity to critically analyze academic literature from venues such as KDD, ICDM, SDM, ICML and NIP
  2. Ability to propose hypothesis and design experiments in the context of specific problems.
  3. Should come from a strong engineering background
  4. Good overlap with  Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++
  5. A scientific temperament that seeks to rigorously validate hypothesis/ideas.
  6. Ability and preference to work in a group rather than individually.
  7. Good at explaining/communicating complex ideas/concepts both verbal and written.
  8. Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments.
  9. Creativity in model and algorithm development.
  10. An obsession to develop algorithms/models that directly impact business.
  11. Master’s/Phd. in Computer Science/Statistics is a plus.


Job Expectations

  1.  Understand business needs and formulate formal problem definitions (with corresponding metrics).
  2. Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets.
  3. Survey academic literature and identify potential approaches for exploration.
  4. Craft, conduct and analyze experiments to evaluate models/algorithms.
  5. Communicate findings and take algorithms/models to production.

Our Customer Development Manager will respond it quickly.

Ours a data driven company and few concepts are new to Indian job market where recruiters can’t even understand or find resources, i outsourced after couple of discussions. Rectras had a decent closure in data and hope they fulfill our infra positions.

Product Manager - BI, Leading Datascience Firm

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