Machine Learning Engineer at CAREERJET
Toronto, Ontario, Canada -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 26

Salary

0.0

Posted On

18 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

IT Consulting & System Integration

Description

Job Title: Machine Learning Specialist

Job ID: 89724

  • Location: Alberta, CanadaWhat you will be doing:Helps teams identify when (and when not) to apply ML, including identifying prerequisites for good ML applications.Facilitates, coaches, and mentors others in the application of ML to complex public challenges.Helps identify and select ML tools, services, and infrastructure.Creates data collection, normalization, and cleaning procedures.Creates training scripts and train models for specific domains using chosen ML packages.Runs ML driven analyses of large datasets and reports on findings.Creates ML analytics, reports, and insights to inform better services and policymaking.Integrates trained ML models within applications.Develops auditing, accountability, and transparency mechanisms for ML capabilities.Works within privacy legislation and provides ethical as well as practical guidance on ML implementation.Develop and share analytical models and products.Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.Support in development of full-stack data analytics or AI applications as required.Provide expertise and leadership in the design and competition of analytic projects.Conducting complex data analysis and collaborating with data engineers and analysts on various projects.Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.Gather and document client requirements.Capture business and technical metadata for ML products.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
Loading...