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Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
…ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other…
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Primary Focus: Machine Learning Engineering, MLOps & Production AI Solutions
Added 5 months ago
SS
Applied AI Engineer
Simpro Software
Montreal, Quebec
- Full-time
Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the infrastructure can scale to meet the demands of various strategic partners.
Added 1 month ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Added 1 month ago
T
Founding AI/ML Engineer
Taskclan
Remote, Canada
- Full-time
- Remote
Understanding of inference systems, model serving and MLOps
Added 1 month ago
A
Senior Manager, GTM Data Science
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 1 month ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 3 months ago
LT
Data Scientist
Larus Technologies
Ottawa, Ontario
- Full-time
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Production experience with cloud ML platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, Kubeflow, or similar).
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Familiarity with cloud platforms (AWS, GCP, Azure) for MLOps and model deployment.
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
…ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and…
Added 5 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
MLOps, gouvernance IA ou pratiques de sécurité.
Added 5 months ago
K
Software Engineer, AI
Klue
Toronto, Ontario
- $92,000 to $119,000 CAD / year
- Full-time
Exposure to MLOps tooling (Logfire, Langfuse).
Added 5 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
…and orchestration (Jenkins, Airflow) - Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining - Experience deploying and serving…
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Added 1 month ago
JG
Gen AI (AWS) Developer
J&M Group
Toronto, ON
- Full-time
We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Generative AI,…
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
…controls, while providing informed challenge on model design, MLOps, data architecture, and production-readiness…
Added 2 months ago
Software Developer Intern
DRW
Montreal, QC
As a Software Developer Intern, you will join one of our development teams supporting our network development initiatives or trading businesses. Depending on the team you join, you will…
Added 1 month ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
…will independently build and ship agent-based applications and developer tooling, and partner with data science counterparts and engineering partners to take proofs of concept from…
Added 6 months ago
L
Specialist - Data Engineering
LTM
Ontario · Ontario, Canada
- $87,896 to $93,824 USD / year
- Full-time
Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines
Added 6 months ago
K
Senior Software Engineer, AI
Klue
Toronto, Ontario
- $145,000 to $183,000 CAD / year
- Full-time
MLOps tools: Weights & Biases, MLflow, Langfuse
Added 6 months ago
A
Senior GenAI Data Scientist (m/f/d)
AutoScout24
Toronto, Ontario
- $180,000 to $200,000 CAD / year
- Full-time
Familiarity with MLOps, prompt engineering, or LLM-based application design.
Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
…TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or…

Tiger Analytics

Senior Machine Learning Engineer (GCP)

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Apr 28, 2026

Original job description

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Develop, train, and optimize ML models using Vertex AI, including Vertex Pipelines, AutoML, and custom model training.
Design and build scalable ML pipelines for feature engineering, training, evaluation, and deployment.
Deploy models to production using Vertex AI endpoints and integrate with downstream applications or APIs.
Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
Monitor model performance and set up alerting, retraining triggers, and drift detection mechanisms.
Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS in ML workflows.
Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices.
Implement model governance, versioning, explainability, and security best practices within Vertex AI.
Document architecture decisions, workflows, and model lifecycle clearly for internal stakeholders.

Requirements

Advanced Generative AI
Advanced RAG including Graph based hybrid retrieval
Multimodal agent
Deep knowledge on ADK , Langchain Agentic Frameworks
Fine tuning and Distillation
Python Expertise
Expert in Python with strong OOP and functional programming skills
Proficient in ML/DL libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, PySpark
Experience with production-grade code, testing, and performance optimization
GCP Cloud Architecture & Services
Proficiency in GCP services such as:
Vertex AI
BigQuery
Cloud Storage
Cloud Run
Cloud Functions
Pub/Sub
Dataproc
Dataflow
Understanding of IAM, VPC
API Development & Integration
Designs and builds RESTful APIs using FastAPI or Flask
Integrates ML models into APIs for real-time inference
Implements authentication, logging, and performance optimization
System Design & Scalability
Designs end-to-end AI systems with scalability and fault tolerance in mind
Hands-on experience in developing distributed systems, microservices, and asynchronous processing

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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More about this job

Responsibilities

The Senior Machine Learning Engineer will design, build, and deploy scalable ML solutions, operationalizing machine learning models and managing the end-to-end ML lifecycle. Key tasks include developing and optimizing ML models, building scalable ML pipelines, and collaborating with cross-functional teams.

Requirements

Candidates should have advanced knowledge in Generative AI and experience with GCP services, particularly Vertex AI. Proficiency in Python and ML/DL libraries is essential, along with experience in production-grade code and system design.

Skills

Machine Learning
Google Cloud Platform
Vertex AI
Python
TensorFlow
PyTorch
scikit-learn
pandas
NumPy
PySpark
GCP Services
RESTful APIs
System Design
Scalability
CI/CD
Model Governance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Google Cloud Platform
Vertex AI
Generative AI
RAG
Graph Based Hybrid Retrieval
Multimodal Agent
ADK
Langchain
Agentic Frameworks
Fine Tuning
Distillation
Python
OOP
Functional Programming
TensorFlow
PyTorch
scikit-learn
pandas
NumPy
PySpark
BigQuery
Dataflow
Cloud Functions
Pub/Sub
Cloud Storage
Cloud Run
Dataproc
CI/CD
Model Governance

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