Full-Time

AI Engineer

AI/ML Engineering

Posted on 9/12/2025

ShyftLabs

ShyftLabs

11-50 employees

Data-driven decision-making platform for organizations

No salary listed

Toronto, ON, Canada

Hybrid

3 days in-office and 2 days remote.

Category
AI & Machine Learning (2)
,
Required Skills
Scikit-learn
Microsoft Azure
Python
Tensorflow
Pytorch
SQL
Machine Learning
Microservices
AWS
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science, Data Science, AI, or related field
  • 5 + years of software development, or data-driven solutions
  • 2+ years of experience in AI/ML engineering
  • Strong Python programming skills and hands-on experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Proficiency in SQL and experience deploying models into production
  • Solid software engineering background, including API development, microservices, and distributed systems
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices
  • Knowledge of system design and architecture for AI-driven applications
  • Excellent problem-solving skills with an emphasis on optimization
  • Strong communication and collaboration skills
  • Experience with full-stack development, particularly integrating AI models into web applications
Responsibilities
  • Apply and optimize AI models to enhance ShyftLabs’ AI-driven solutions
  • Integrate models into scalable, production-ready environments
  • Fine-tune models for performance, reliability, and cost efficiency
  • Collaborate closely with engineers and data scientists to enable smooth deployments
  • Leverage cloud platforms and infrastructure tools to support AI applications
  • Stay ahead of industry trends by researching the latest AI/ML tools and practices
  • Document processes and implementations to improve scalability and knowledge sharing

ShyftLabs helps organizations adopt a data-first approach to decision making by designing and implementing processes that turn data into actionable insights. Its solution builds structured analytics workflows and governance, so teams access trustworthy data, follow defined steps, and act on results with clarity. Unlike tools that only show dashboards, ShyftLabs focuses on repeatable data practices and governance that speed up decisions and reduce ad hoc analysis. The goal is to help organizations stay ahead of the competition by enabling faster, more informed decisions across the business.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Canada

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • ShyftLabs hires Apache Druid Engineers and Data Architects in Gurugram and Toronto.
  • ShyftLabs powers 200+ experts streamlining operations for major public agencies.
  • ShyftLabs modernizes legacy systems with cloud migration for scalable citizen services.

What critics are saying

  • Databricks Lakehouse erodes consulting margins as clients build in-house pipelines.
  • Snowflake Cortex AI bypasses ShyftLabs BI with native serverless ML functions.
  • Talent exodus to AWS drains ShyftLabs engineers amid 30% higher salaries.

What makes ShyftLabs unique

  • ShyftLabs delivers privacy-first Carter platform for secure public sector AI.
  • ShyftLabs unlocked $500 million value via data and AI for retailers and health.
  • ShyftLabs builds custom low-latency pipelines embedding intelligence for real-time decisions.

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Benefits

Health Insurance

Hybrid Work Options

Professional Development Budget

INACTIVE