Machine Learning Engineer

Monark Group; White Rock; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is on the lookout for a skilled Machine Learning Engineer to enhance their data infrastructure. This exciting role involves designing ETL pipelines, optimizing a Snowflake data warehouse, and implementing machine learning solutions that provide significant business value. Collaborating closely with the Data Science team, you'll ensure data quality, security, and compliance while documenting processes and architectures. If you're passionate about leveraging data to drive insights and business growth, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in data engineering or machine learning engineering.
• Strong programming skills in Python and expertise with Snowflake.

Responsibilities

• Design and maintain scalable ETL pipelines for data processing.
• Develop and deploy machine learning models to production.

Skills

Python

Machine Learning

Data Engineering

ETL Processes

Data Architecture

SQL

NoSQL

Data Governance

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Apache Kafka

Apache Airflow

Git

TensorFlow

PyTorch

dbt

AWS

Job description

We are seeking an experienced Machine Learning Engineer to build and manage our data infrastructure. This role will focus on designing ETL pipelines, implementing a Snowflake data warehouse, and developing machine learning solutions that drive business value.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines to process data from multiple sources
• Build and optimize our Snowflake data warehouse architecture
• Implement real-time data streaming solutions using Kafka
• Develop and deploy machine learning models to production
• Ensure data quality, security, and compliance across all systems
• Collaborate with the Data Science team to implement ML solutions
• Document data architecture, pipelines, and processes

Required Skills & Experience

• 3+ years of experience in data engineering or machine learning engineering
• Strong programming skills in Python
• Expertise with Snowflake or similar cloud data warehouses
• Experience with ETL/ELT processes and tools (Airflow, dbt, etc.)
• Hands-on experience with Kafka for real-time data streaming
• Knowledge of SQL and NoSQL databases
• Experience with cloud platforms (AWS)
• Understanding of data modeling, data architecture, and data governance

Preferred Qualifications

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Knowledge of container technologies (Docker, Kubernetes)
• Experience with CI/CD pipelines
• Familiarity with data visualization tools
• Strong understanding of software engineering best practices

Tech Stack

• Cloud Data Warehouse: Snowflake
• Data Streaming: Apache Kafka
• Programming: Python, SQL
• Orchestration: Apache Airflow
• Version Control: Git
• ML Frameworks: TensorFlow, PyTorch, scikit-learn
• Data Transformation: dbt
• Cloud Platforms: AWS