AI / ML Engineer (USA & Canada)

Flexdaysolutions; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A technology solutions company in Toronto is seeking an experienced AI / ML Engineer. The role involves developing scalable NLP and Data Science services and contributing to machine learning workflows. Candidates should have at least 2 years of experience with Java or Python and knowledge of relevant machine learning frameworks. This position offers the opportunity to innovate and collaborate with product teams to enhance technology solutions.

Qualifications

• At least 2 years of experience in Java or Python.
• Strong knowledge of machine learning frameworks.
• Familiar with continuous integration and deployment.

Responsibilities

• Implement highly scalable NLP and Data Science services.
• Contribute to the design of scalable machine learning workflows.
• Analyze and explain outcomes of experiments.

Skills

Java or Python

Machine learning frameworks

Data analysis

Natural Language Processing

Infrastructure as code

Unix / Linux systems

Bash / shell scripting

Education

B.Tech / B.E.

Tools

TensorFlow

Keras

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, brainstorming 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, 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.
• Good knowledge of data analysis and machine learning, particularly around Natural Language Processing.
• Familiarity with infrastructure as code (e.g., Terraform, CloudFormation, 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.