Machine Learning Engineer (with Vertex AI Experience)

# Machine Learning Engineer (with Vertex AI Experience)

> Tiger Analytics Inc. · Canada (Remote) · — · Posted 2025-11-20

**Workplace:** remote

**Department:** MLE

## 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
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

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

_**Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.**_

## Apply

[Apply at Tiger Analytics Inc.](https://apply.workable.com/tiger-analytics/j/26CBF6E8A3/apply)

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