Jobs in Canada

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Added 17 days ago
C
Lead Applied Value Engineer
Celonis
Field, BC
- Full-time
As an Senior Applied Value Engineer (EAM) you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers,…
Added 5 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Bonus: Experience with multimodal ML (video + text/audio), transformers, or RAG architectures
Added 5 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
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…
Added 5 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
Bonus: Experience with multimodal ML (video + text/audio), transformers, or RAG architectures
Added 3 months ago
P
Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
Strong grasp of LLM agent architectures (ReAct, RAG, tool use, multi-agent) and hands-on agentic orchestration and evaluation.
Added 3 months ago
JI
Senior Data Scientist | Scientifique de données senior
Jesta I.S.
Westmount, Quebec · Montreal, Quebec
- Full-time
We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems, and…
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
Working closely with Senior AI Engineers and cross-functional partners, the AI Engineer will help implement AI solutions that address real-world problems. This role offers the opportunity…
Added 3 months ago
N
Applied AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
A customer-obsessed senior engineer who thrives in deeply technical, fast-moving environments.

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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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