Overview
Join to apply for the Senior Machine Learning Engineer role at MIR Digital Solutions
Direct message the job poster from MIR Digital Solutions
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
Employment type
Job function
- Engineering and Information Technology
- Industries
- Retail
Referrals increase your chances of interviewing at MIR Digital Solutions by 2x
Get notified about new Machine Learning Engineer jobs in Toronto, Ontario, Canada.
Related Jobs
- Software Engineer, Backend (All Levels / All Teams)
- Machine Learning Developer Intern (4 month term - Toronto or Montreal)
- Data Scientist, Decisions - New Product Development
- Applied Machine Learning Scientist (Early Career)
- Data Scientist, Algorithms Pricing (Optimization)
- Data Scientist - Data-Driven Global Investment Firm
- Data Scientist - Data Analytics and Infrastructure
- Senior Software Engineer I - New Product
- Data Scientist, Decisions - Rider Applied AI
- Data Scientist, Causal Inference - New Product Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr