Do you want to join a leading artificial intelligence solutions provider? Stradigi AI is looking for bright and innovative Data Scientist with experience in Machine Learning to join our fast-growing team. This is the perfect opportunity for the successful candidate to become a part of an energetic team that will implement our AI pipelines for our clients and strive to ensure clients are getting the best in AI performance.

 

Responsibilities:

  • Create ETL and data transformation internal libraries;
  • Benchmark Stradigi AI’s Machine Learning algorithms against the current state of the art;
  • Build a Machine Learning (ML) pipeline from data ingestion through solutions for specific use cases;
  • Leverage ETL and Big Data tools to develop an efficient and accurate data workflow;
  • Apply a wide variety of Machine Learning and Deep Learning algorithms to real-world datasets;
  • Work closely with Researchers and AI Developers to ensure data and Machine Learning models are being used effectively;
  • Analyze and document ethical implications of applications of data science and ML pipelines.

Requirements:

  • 3+ years of experience in Data Science / Machine Learning;
  • University degree in a quantitative discipline - Computer Science, Mathematics, Physics, Engineering, or similar;
  • Experience with Machine Learning (including Deep Learning) in Natural Language Processing;
  • Excellent understanding of statistics;
  • Industry experience with data visualization tools (Matplotlib, d3.js);
  • Excellent working knowledge and experience with Production ready Python;
  • Comfortable using Scikit learn, Numpy and Pandas;
  • A love for data-driven solutions and a product-oriented mindset;
  • Enthusiasm for working on a team and a passion for communicating your ideas;
  • Understanding and experience in other domains such as image and video understanding, prediction, and/or Recommender Systems will be considered an asset;
  • Experience with SQL and NoSQL databases and ETL tools will be considered an asset;
  • Experience using Big Data tools (Hadoop, Spark) will be considered an asset. 

What we offer:

  •  Group insurance and 3% company contribution to RRSP;
  •  ½ paid day for your birthday;
  • Weekly team breakfast;
  • Referral bonuses;
  • Organized company events
  • And much more!

 

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