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 ajith.anthoniraj@two95intl.com 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!