Login | Register

Intermediate Machine Learning (ML) Engineer to create & execute advanced OCR and Cognitive Data extraction capabilities 

Job Type: Permanent
Positions to fill: 1
Start Date: Oct 03, 2022
Job End Date: Oct 03, 2022
Pay Rate: Salary: Negotiable
Job ID: 123123
Location: Toronto
Apply
Our Private Equity Client is looking for an Intermediate Machine Learning (ML) Engineer to create & execute advanced OCR and Cognitive Data extraction capabilities 

S.i. Systems' client is North America's fastest growing Private Equity firm. 6 years ago, they were a team of 3 - now they're 108+. With $14.1 Billion USD under management, they're young, agile, and growing quickly. 

This is a rare opportunity to join this powerhouse private equity firm - you are driven, you have a few years of work experience as a ML Engineer , and you want to put in the work in a firm where you will be rewarded financially and mentally. 
  • They hire the best of the best.
  • Hustle, drive, and ability to adapt are the common traits of their team members.
  • Onsite - 4 days a week.

Must Have:
  • 3+ years of experience in Machine Learning frameworks such as TensorFlow, PyTorch, MXNet, scikit-learn, or something similar
  • Fluency in Python and SQL with demonstrated experience in common data manipulation APIs 
  • Experience with Data extraction technologies preferably Vision API , Document API , Textract or other Python libraries 
  • Excellent analytical and problem-solving skills that are required to interpret data and draw conclusions 
  • 3+ years of experience with at least one cloud platform (e.g. AWS, Azure, GCP

Nice to Have: 
  • Experience with other languages (e.g. JavaScript, React JS , Vue JS)
Responsibilities:
  • Create Advanced OCR and Cognitive Data Extraction capability as well as its execution
  • Develop innovative solutions in areas such as machine learning, computational linguistics, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration
  • Database querying skills such as SQL proficiency in open-source scripting languages such as Python/R required.
  • Develop & maintain Client & NLP Pipeline for Document Data Extraction semantics and sentiment processing and understanding
  • Expertise in multivariate statistical modeling (e.g. clustering, regression and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) required