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| Job Location | Montréal |
| Education | Not Mentioned |
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| Job Type | Contract |
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 comfortableamp; effective workplace; collaborative · Attitude to thrive in a fun, fast-paced, startup-like environment· Open minded to new approaches and learningBenefitsNote: 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!