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Machine Learning Engineer
Ref No.: 17-03928
Location: New York, New York
Position Type:Full Time
Pay Rate : $ 140,000.00 - 180,000.00 /Year
Machine Learning Engineer

The Machine Learning Engineer will focus on helping clients address regulatory and operational challenges arising from KYC (know your customer) and AML (Anti money laundering). You will be building a portfolio of rapidly increasing web-based products and APIs that facilitate secure document exchange and permissioning (Entity Exchange), data cleansing and verification (Entity Verification), and screening peps, sanctions and adverse media (Entity Screening).
The Machine Learning Engineer will play a critical role in the development of these products. You will focus on building models that extract entities, relationships among them, and pertinent intelligence from a diverse array of data-sets in the financial and regulatory ecosystems.
Responsibilities:
  •  Identify and formulate various challenges in AML and KYC domains as Machine Learning (Client) problems.
  •  Design, develop, and validated proposed Client solutions.
  •  Deploy these solutions on a large scale where performance and maintainability are critical.
  •  Stay abreast of latest advances and best practices in academia and industry.
Requirements:
  •  2+ years of industry experience in IR (Information Retrieval) / Client / NLP (Natural - Language Processing) domain.
  •  2+ years of experience programming in java or python.
  •  PhD or Masters degree in IR / Client / NLP domain or Bachelors degree with at least 5+ years of relevant work experience.
Nice to have:
  •  Publications in top-tier conferences or journals.
  •  Experience with Big data technologies such as Spark and Hadoop.
  •  Experience with Deep learning.
  •  Understanding of AML or KYC.
 
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