Enable job alerts via email!

machine learning engineer

Wireframe Solutions

Toronto

Hybrid

CAD 80,000 - 100,000

Full time

10 days ago

Job summary

A tech company in Ontario is seeking a Machine Learning Engineer for a full-time, hybrid role. Candidates should have strong programming skills, proficiency in machine learning frameworks, and experience with cloud platforms. The salary ranges from $80,000 to $100,000/year. This position offers a chance to work 3 to 4 days a week onsite in Toronto.

Benefits

Vision care

Qualifications

  • Proven experience as a Machine Learning Engineer or similar role.
  • Solid understanding of machine learning frameworks.
  • Experience with cloud platforms.

Responsibilities

  • Design and implement machine learning models.
  • Collaborate with data engineers and data scientists.
  • Optimize algorithms for performance.

Skills

Proficiency in SQL
Proficiency in Python
Experience in Spark
Experience in R
Experience in SAS
Solid understanding of TensorFlow
Solid understanding of PyTorch
Solid understanding of Keras
Experience with GCP
Experience with AWS
Experience with Azure
Experience with Snowflake
Experience with Databricks
Experience with Hadoop
Experience with Spark

Education

Bachelor's degree in Computer Science
Master's degree in Computer Science
Degree in Engineering
Degree in Statistics
Degree in Mathematics

Job description

Posted onJuly 31, 2025 by Employer details Wireframe Solutions

To add a job posting to your favourites, you need a Job Bank account. Sign in or sign up now!

machine learning engineer

Posted onJuly 31, 2025 by Employer details Wireframe Solutions

Add to favourites

To add a job posting to your favourites, you need a Job Bank account. Sign in or sign up now!

Sign in Sign up for a Plus account
  • Email
  • Copy link
Job details
*ML Engineer**Hybrid in Toronto, ON **Fulltime/Permanent** Proven experience as a Machine Learning Engineer or a similar role (Data Engineering and/or data science). Proficiency in programming languages such as SQL, Python, Spark, R, SAS, etc.* Solid understanding of machine learning frameworks (TensorFlow, PyTorch, or Keras).* Experience with cloud platforms such as GCP, AWS, Azure. Experience with Big Data technologies such as Snowflake, Databricks, Hadoop, Spark, or similar.* Bachelor?s or Master?s degree (Computer Science, Engineering, Statistics, Mathematics, or a related field)*Thank you*Job Types: Full-time, PermanentPay: $80,000.00-$100,000.00 per yearBenefits:* Vision careSchedule:* Monday to FridayApplication question(s):* Hybrid in Toronto, ON 3 to 4 days per week onsite* Fulltime/permanent roleLanguage:* English (preferred)Work Location: Hybrid remote in Toronto, ON M8Z 1P7
  • Location Toronto , ON
  • Work location Hybrid
  • Salary $ 80,000 to $ 100,000 YEAR annually
  • Terms of employment Permanent employment Full time
  • Starts as soon as possible
  • vacancies 1 vacancy
  • Source indeed.com #9829321149
  • Toronto, ON
View the full job posting on indeed.com

Important notice: This job posting has been provided by a partner site. Job Bank is not responsible for this content.

Report a problem with this job posting * What’s wrong? This job posting contains incorrect information Inaccurate salary Inaccurate job title Link to full job posting / Expired or closed job posting Provide more details: Report potential misuse of Job Bank

Thank you for your help!

You will not receive a reply. For enquiries, please contact us .

Sign up for a Plus account to get the most out of your job search and access all the tools available on Job Bank!

The median wage is the salary of a given occupation where half the workers earn more than that amount, and half earn less. This information is presented on job postings to help job seekers determine how the salary compares to the amount earned by other workers working the same job. Job Bank preferred indicating the median wage, which is less affected by extremely high or low wages, rather than the average wage which is calculated by adding up all the salaries of a group of people and then dividing that total by the number of people.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs