TWO95 International is hiring a
Machine Learning Engineer, Remote - Canada

Summary

This job posting is for a Machine Learning Engineer on a contract-to-hire basis, working remotely in Canada with competitive market rates. The position requires a BSc/MSc in computer science, mathematics or related technical discipline, 1-4 years of software engineering experience with exposure to statistical and/or data science roles (5-10 years for Senior ML Engineer), and proven experience optimizing machine learning models in a production context.

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

Responsibilities

• 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

Preferred Qualifications

• 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
• Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)

Benefits

• 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