Role Overview
TMS LLC is hiring a Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp.. This is a full-time hybrid role, based in Montreal, Quebec. Part of TMS LLC's Devops hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Company Description
Job Description
Role: Senior Machine Learning Engineer (Cloud & Data Platform)
Duration: Long Term
Location: Montreal, Canada- Hybrid
We are seeking a highly capable Senior Machine Learning Engineer to support the modernization of enterprise analytics and modeling platforms. This role focuses on migrating and transforming legacy data and machine learning workflows into scalable, cloud-native architectures while improving performance, reliability, and engineering standards.
The ideal candidate combines strong ML engineering expertise with deep experience in distributed data processing and cloud data platforms.
Responsibilities
Machine Learning Engineering
- Design, develop, and deploy scalable machine learning models using modern frameworks (e.g., PyTorch)
- Re-engineer and optimize legacy models into efficient, production-grade implementations
- Improve model performance, scalability, and reproducibility
- Support model validation, benchmarking, and certification processes
- Ensure full traceability and documentation of model logic and outputs
Data Platform & Pipeline Engineering
- Design and optimize distributed data pipelines using Spark-based platforms (e.g., Databricks)
- Build and refactor ETL/ELT workflows for performance and scalability
- Implement data models within modern cloud data warehouses (e.g., Snowflake)
- Apply best practices for cloud-native data architecture
- Standardize reusable utilities and frameworks for analytics workflows
Cloud Migration & Modernization
- Participate in migration of on-prem or legacy analytics platforms to cloud ecosystems
- Refactor existing codebases to align with modern engineering and DevOps standards
- Leverage cloud compute capabilities (including GPU acceleration where applicable)
- Support scheduling and orchestration of data and ML workflows
Testing, Validation & Governance
- Conduct rigorous testing and validation to ensure data and model accuracy
- Perform parallel runs and benchmarking when modernizing systems
- Collaborate with governance, risk, and compliance stakeholders
- Maintain high standards of documentation and reproducibility
Additional Information
All your information will be kept confidential according to EEO guidelines.
Frequently Asked Questions
How do I apply for the Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp. position at TMS LLC?
Use the Apply button above to submit your application directly to TMS LLC. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp. role at TMS LLC remote or in-office?
This is a hybrid role based in Montreal, Quebec. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp. at TMS LLC earn?
TMS LLC has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp. role at TMS LLC posted?
This role was posted on April 9, 2026 (67 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Machine Learning Engineer (Cloud & Data Platform) - 5-8 years of exp. role at TMS LLC require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. TMS LLC lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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