Tiger Analytics Inc.
Senior Machine Learning Engineer (GCP)
Remote role where the employee must remain based in a particular country.
Canada only
Employer listed it 14 months ago · Found 1h ago
Been open since 14 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Canada only
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Canada. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Canada, Remote"
What Nomaders makes of it
- Residency required in Canada
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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
- ·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.
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.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $135k to $210k per year · You'll be taken to the employer's careers page.