Senior AI Engineer

MIR Digital Solutions; Toronto; On-site; Part time

Benefits offered by this job

Dynamic and fast-growing technology company

Innovative teams delivering cutting-edge solutions

Job summary

A leading technology firm in Toronto is seeking a Senior Machine Learning Engineer to build production-grade ML systems. The ideal candidate should have hands-on experience in deploying ML solutions using deep learning frameworks like PyTorch and TensorFlow. This role involves collaborating with cross-functional teams to drive business impact through ML applications and is a great opportunity to be part of a dynamic, growing tech environment.

Qualifications

• Hands-on experience with deep learning frameworks and deploying machine learning solutions.
• Proven experience with production-grade ML systems at scale.
• Strong problem-solving skills and ability to work in fast-paced environments.

Responsibilities

• Design, build, and maintain scalable ML systems for production environments.
• Implement and optimize deep learning models using PyTorch and TensorFlow.
• Collaborate with teams to integrate ML models into business applications.
• Develop and manage data pipelines leveraging BigQuery and Cloud Composer.
• Containerize and orchestrate ML applications using Docker and Kubernetes.
• Deploy and monitor ML solutions in Google Cloud Platform (GCP).
• Ensure high availability and reliability of ML systems in production.

Tools

PyTorch

TensorFlow

Docker

Kubernetes

BigQuery

Cloud Composer

Google Cloud Platform (GCP)

LangGraph

LangChain

Job description

Overview

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About MIR Digital

About MIR Digital:

At MIR Digital, we’re more than a company - we’re a collective of innovators, builders, and change-makers. We believe in empowering our team members to shape their own success while contributing to meaningful projects that drive business transformation. With a growing network of skilled professionals, we’re committed to delivering impactful digital solutions that empower our clients to excel in an ever-evolving world.

Founded with a mission to redefine the digital landscape, MIR Digital has become a trusted partner for organizations seeking cutting-edge IT and business solutions. Our team thrives on collaboration, expertise, and a shared vision for achieving exceptional results.

This is your opportunity to join a forward-thinking team and build your career with MIR Digital.

About the Role

We are seeking a skilled Machine Learning Engineer to join our team and build production-grade ML systems at scale. The ideal candidate is hands-on with deep learning frameworks and experienced in deploying end-to-end machine learning solutions in cloud-native environments. You will collaborate closely with data scientists, software engineers, and product teams to design, deploy, and optimize ML-powered applications that deliver real business impact.

Key Responsibilities

• Design, build, and maintain scalable ML systems for production environments.
• Implement and optimize deep learning models using PyTorch and TensorFlow.
• Collaborate with cross-functional teams to integrate ML models into business applications and workflows.
• Develop and manage data pipelines, leveraging BigQuery and Cloud Composer.
• Utilize LangGraph and LangChain to build advanced AI applications and workflows.
• Containerize and orchestrate ML applications using Docker and Kubernetes.
• Deploy and monitor ML solutions in Google Cloud Platform (GCP) with a focus on scalability, performance, and cost efficiency.
• Ensure high availability, reliability, and maintainability of ML systems in production.
• Proven hands-on experience with production-grade ML systems at scale.
• Expertise in PyTorch and TensorFlow.
• Familiarity with BigQuery, LangGraph, and LangChain.
• Strong experience with Kubernetes, Docker, and Cloud Composer.
• GCP experience preferred
• Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.

Why Join Us?

• Be part of a dynamic and fast-growing technology company.
• Work closely with innovative teams delivering cutting-edge software and technology solutions.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering and Information Technology
• Industries
• Retail

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