Machine Learning Engineer - Full Time role

SOHO Square Solutions

$100K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of industry experience in Information Retrieval (IR), Machine Learning (ML), or Natural Language Processing (NLP).
  • 2+ years of programming experience in Java or Python.
  • PhD or Master's degree in IR, ML, or NLP; or Bachelor's with 5+ years of relevant experience.

Responsibilities

  • Identify and formulate challenges in AML and KYC as Machine Learning problems.
  • Design, develop, and validate proposed ML solutions.
  • Deploy solutions at scale focusing on performance and maintainability.
  • Stay updated on advances and best practices in academia and industry.

Benefits

  • Collaborative team environment tackling innovative computational problems.
  • Opportunity to work on high-stakes applications with significant impact.
  • Access to the latest research and technologies in the field.
Full Job Description
Our customers use this information in making crucial decisions; it is paramount that our systems have high precision, accuracy, and low latency. As a member of this team, you will tackle a very interesting set of computational problems such as search and retrieval, document classification, named entity recognition (NER) and disambiguation (NED).

We'll trust you to
  • Identify and formulate various challenges in AML and KYC domains as Machine Learning (ML) problems.
  • Design, develop, and validated proposed ML 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.

You'll need to have
  • 2+ years of industry experience in IR (Information Retrieval) / ML / NLP (Natural - Language Processing) domain.
  • 2+ years of experience programming in java or python.
  • PhD or Masters degree in IR / ML / NLP domain or Bachelors degree with at least 5+ years of relevant work experience.

We'd love to see
  • 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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