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Ml Software Developer Jobs in Toronto, ON (NOW HIRING)

Kaseya Careers

Sr. Software Engineer

Toronto, ON · On-site

This is a hands-on role focused on building scalable backend systems, integrating ML/AI ... software engineering experience in a production environment * Experience designing and building ...

indie

Perception Software Engineer

Toronto, ON · On-site

We are seeking a talented and motivated Perception Software Engineer to join our growing team. In ... Experienced with major ML frameworks, ONNX, container technologies, and build systems * Knowledge ...

YO AI Labs

AI Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross ...

AltaML

Manager, Software Engineering

Toronto, ON

CA$140K - CA$170K/yr

Role Summary The Manager, Software Engineering leads a delivery pod with accountability for both ... Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps). People ...

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Ml Software Developer information

Is ML a high paying job?

Machine Learning (ML) software developers typically earn high salaries due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but overall, ML roles are considered well-compensated within the tech field.
Ml Software Developer jobs near you

Sr. Software Engineer

Toronto, ON • On-site

Kaseya Careers
See more jobs at Kaseya Careersexternal

Full-time

Re-posted 8 hours ago

Job description

Job Title:

Senior Backend Engineer (SaaS, Data & AI)

Why Kaseya?

Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We're hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building scalable backend systems, integrating ML/AI capabilities into real customer workflows, and driving technical direction across product areas. You'll work closely with Product, Design, and Data teams to deliver reliable, high-impact features and improve engineering standards across the organization.

Roles & Responsibilities
  • Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform
  • Design and build APIs and services (REST, GraphQL, or gRPC) to support product features and integrations
  • Deliver backend features end-to-end, including data modeling, business logic, and system integration
  • Partner with Product, Design, and Data/ML teams to translate business requirements into scalable solutions
  • Integrate data, ML, and AI capabilities into product workflows (e.g., automation, recommendations, insights)
  • Improve system performance, scalability, and reliability across critical services
  • Implement monitoring, logging, and alerting to ensure operational visibility and stability
  • Lead design reviews, mentor engineers, and contribute to engineering best practices
Required Qualifications
  • 10+ years of software engineering experience in a production environment
  • Experience designing and building backend systems for SaaS applications
  • Experience delivering complex, user-facing features end-to-end in collaboration with Product teams
  • Experience building APIs and services (REST, GraphQL, or gRPC)
  • Experience working with cloud platforms (AWS, GCP, or Azure)
  • Experience integrating data, ML, or AI capabilities into production systems
Preferred Qualifications
  • Experience with backend languages such as Node.js, Java, Go, or similar
  • Experience with Python and data-related tooling (e.g., pandas, ML frameworks)
  • Familiarity with data modeling, relational databases, and caching strategies
  • Understanding of ML/AI systems, including model integration and common failure modes
  • Experience working with containers and distributed systems
  • Experience mentoring engineers and contributing to engineering standards
Additional Information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

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