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Machine Learning Engineer

Two95 International Inc.

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Machine Learning Engineer

Type: Contract to Hire

Location: 100% Remote (Canada)

Rate: Open / Market

Job Requirements

  • BSc/MSc in computer science, mathematics or related technical discipline
  • 1-4 years’ experience in software engineering with exposure to statistical and/or data science role (5-10 years for Senior ML Engineer)
  • Deep knowledge and proven experience with optimizing machine learning model in a production context
  • Experience with Python or Scala is required. Background in programming in C, C++, Java is beneficial. Exposure to both streaming and non-streaming analytics
  • Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch, Databricks is beneficial
  • Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
  • Refactor prototypes of predictive models into highly performant, production ready solutions
  • Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
  • Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
  • Choose and use the right analytical libraries, programming languages, and frameworks for each task
  • Contribute to building client capabilities by coaching team members on data science methodologies and approaches
  • Contribute to best coding and engineering practice across AI projects
  • Build/refactor/develop code into reusable libraries, APIs, and tools
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative
  • Attitude to thrive in a fun, fast-paced, startup-like environment
  • Open minded to new approaches and learning

How to Apply

Note: If interested please send your updated resume to [email protected] and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

We look forward hearing from you at the earliest

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Type d'emploi

Type d'emploi
Temps plein
Emplacement
Gatineau, Quebec

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