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?
- Click the "Apply Now" button below.
- Review the safety warning in the modal.
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- 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.