Location: US, Canada (Vancouver/Toronto)

Job Description

We are on the constant lookout for AI/ML Engineers who are interested in developing cutting-edge technologies for real-world next-generation AI-driven insights platforms. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.

Roles And Responsibilities

Implementing highly scalable Natural Language Processing (NLP) and Data Science services capable of processing extremely large volumes of data.
Contributing to the design of highly available, highly scalable, machine learning workflows.
Create and implement non-standard, fresh and creative scientific ideas to improve or speed up existing technologies.
Collaborate with product managers and dive deeper into the usage of the research, brainstorm with the product team on developing new creative ideas.
Follow up and support the development of models in an end-to-end manner: from design to production.
Analyze, interpret and explain outcomes of non-trivial experiments.
Analyze the data used in experiments, understand its subtleties of it, and modify it appropriately, if needed.

Requirements

Strong working knowledge (at least 2 years) of Java or Python.
Strong working knowledge (at least 2 years) of machine learning frameworks, in particular, TensorFlow and Keras.
Working knowledge of Java or Python.
Working knowledge of machine learning frameworks, in particular, TensorFlow and Keras.
Good knowledge of data analysis and machine learning, in particular around Natural Language Processing.
Familiarity with infrastructure as code (e.g., Terraform, Cloud formation, Serverless), continuous integration and deployment.
Good knowledge of Unix/Linux systems and bash/shell scripting.

Required Qualifications

UG: B.Tech/B.E. in any specialization
PG: Any Postgraduate

NB: Flexday promotes a flexible work model supporting a blend of in-office, remote, and on-the-go work styles as per employee convenience.

Flexday AI

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AI/ML Engineer (USA & Canada)