Sponsored

Hybrid ML Engineer: Production-Grade Data Pipelines

Job Description

A global financial services firm is seeking a Machine Learning Developer for its Montreal office. This role involves building robust data pipelines and scalable ML systems within the Trade Surveillance Analytics team. Candidates should have over 5 years of experience in software development, a strong command of Python, and an interest in machine learning technologies. The position offers a hybrid work environment where innovation and collaboration are highly valued. Knowledge of both French and English is required.
#J-18808-Ljbffr

How to Apply

Ready to start your career as a Hybrid ML Engineer: Production-Grade Data Pipelines at Morgan Stanley?

  1. Click the "Apply Now" button below.
  2. Review the safety warning in the modal.
  3. You will be redirected to the employer's official portal to complete your application.
  4. Ensure your resume and cover letter are tailored to the job description using our AI tools.

Frequently Asked Questions

Who is hiring?

This role is with Morgan Stanley in Montréal.

Is this a remote position?

This appears to be an on-site role in Montréal.

What is the hiring process?

After you click "Apply Now", you will be redirected to the employer's official site to submit your resume. You can typically expect to hear back within 1-2 weeks if shortlisted.

How can I improve my application?

Tailor your resume to the specific job description. You can use our free Resume Analyzer to see how well you match the requirements.

What skills are needed?

Refer to the "Job Description" section above for a detailed list of required and preferred qualifications.

Sponsored

Safety & Disclaimer

External Application

You are leaving Govtjobs.ca to apply on the employer's website.

Safety Tip: Never provide bank details, credit card info, or pay any fees to apply for a job.