At a Glance
- Tasks: Design and build scalable ML systems using cutting-edge technologies.
- Company: Join MIR Digital, a collective of innovators and change-makers.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career development.
- Why this job: Make a real impact by developing advanced AI applications in a dynamic environment.
- Qualifications: Experience with deep learning frameworks and cloud-native ML solutions.
The predicted salary is between 123750 - 151250 $ per year.
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.
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.
Qualifications:
- 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.
Senior AI Engineer in Toronto employer: MIR Digital Solutions
At MIR Digital Solutions, we foster a vibrant work culture that champions innovation and collaboration, making it an exceptional employer for those looking to advance their careers in AI and machine learning. Our commitment to employee growth is evident through hands-on projects and the opportunity to work with cutting-edge technologies in a supportive environment. Located in Toronto, Ontario, we offer a dynamic atmosphere where your contributions directly impact meaningful digital transformations for our clients.
