Machine Learning Engineer (Mid To Senior Level) For Canada Onsite

- Apply strong software engineering & machine learning expertise to industrialize predictive & prescriptive solutions across big datasets and handle both streaming and non-streaming analytics use cases.
- Having deep understanding of analytics and data science, you will engineer performant and robust code and apply best in class development frameworks.

Qualifications:
• 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
• Experience working in AI startup environment or organizations with an agile culture
• Professional attitude and service orientation
• Superb team player
• Excellent communications skills
• Excellent team player
• Adaptable and flexible

Location: Canada
Salary: negotiable
Need: 1