Machine Learning Engineer (Canada)

Title : Machine Learning Engineer
Type : Contract to Hire
Location : 100% Remote (Canada)
Rate: $Open / Market

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 capabilitiesby 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

Benefits

Note : If interested please send your updated resume to View email address on swooped.co 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!