Senior Machine Learning Engineer (GCP)
Tiger Analytics Inc. Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Tiger Analytics Inc. Remote, Canada · no salary stated · we estimate CA$139,400–CA$200,000 across Canada.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and tune models in Vertex AI, covering pipelines, AutoML and custom training approaches
- Create workflows that move features through model training and evaluation into deployment
- Put models behind Vertex AI endpoints and connect them to applications or APIs
- Track model quality, then configure drift checks, alerts and retraining triggers
- Apply CI/CD and governance practices, documenting model versions, security and design choices
What you bring
- Advanced generative AI experience spanning hybrid RAG, multimodal agents, fine-tuning and distillation
- Expert Python skills, including OOP, functional programming, production code, testing and performance tuning
- Practical knowledge of GCP architecture and its named services, including Vertex AI, BigQuery and Cloud Storage
- Experience designing REST APIs with FastAPI or Flask and connecting them to models for live inference
- Hands-on ability to design scalable AI systems and build distributed services, microservices or asynchronous processing
Who this fits
This senior role suits an engineer who can take ML systems from model development through production operations. It is remote in Canada and emphasizes GCP, advanced generative AI, API integration and scalable system design.
From the employer
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
1. Advanced Generative AI
- Advanced RAG including Graph based hybrid retrieval
- Multimodal agent
- Deep knowledge on ADK , Langchain Agentic Frameworks
- Fine tuning and Distillation
2. 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
3. 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
6. 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
7. 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.