Machine Learning Engineer (Canada)

Two95 International Inc.; Quebec; Remote; CAD 125,000 - 150,000; Part time

Job summary

A technology company is seeking a Machine Learning Engineer. The role involves optimizing ML models, collaborating closely with data teams, and requires expertise in Python or Scala among other tools. Candidates should have a BSc/MSc in a relevant field with 1-4 years of experience. This position is 100% remote in Canada and offers a dynamic and collaborative work setting that thrives on innovative approaches and practices. Competitive compensation is provided upon application.

Qualifications

• 1-4 years experience in software engineering with exposure to statistical and/or data science role.
• Deep knowledge with optimizing machine learning models in a production context.
• Experience working with large data sets and distributed computing tools.

Responsibilities

• Refactor prototypes of predictive models into production-ready solutions.
• Collaborate with Data Engineers and Data Scientists on analytical variables.
• Contribute to best coding practices across AI projects.

Skills

Machine learning model optimization

Python

Scala

SQL

Spark

Pandas

Numpy

Statsmodels

TensorFlow

Pytorch

Education

BSc/MSc in computer science, mathematics or related technical discipline

Tools

Hadoop

Hive

Databricks

Job description

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 [e-mail] 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!