AI Data Engineer

Definity Financial Corporation; Old Toronto; On-site; USD 56,964 - 85,446; Full time

Job summary

A forward-thinking company seeks an AI Data Engineer to bridge data science and engineering. This pivotal role involves designing robust data pipelines, optimizing AI solutions, and collaborating with cross-functional teams to enhance data processes. With a strong focus on innovation, the position offers the opportunity to work with advanced tools and technologies, ensuring scalable and efficient data architectures. If you're passionate about transforming data into actionable insights and driving technological advancements, this role is a perfect fit for you, enabling you to make a significant impact in the world of AI and machine learning.

Qualifications

• 5+ years in technology and data engineering or a related role.
• Experience with machine learning and AI applications.

Responsibilities

• Design and implement robust data pipelines for large volumes of data.
• Collaborate with Data Scientists to integrate AI solutions.

Skills

Python

Java

Scala

BigQuery

Hive

Databricks

GCP

TensorFlow

PyTorch

Apache Airflow

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

Docker

Kubernetes

Data Visualization Tools

Job description

The AI Data Engineer is a critical role that bridges the gap between data science and engineering, enabling the development and deployment of data assets with integrated models. This role is responsible for building and maintaining the data infrastructure and pipelines that power AI and machine learning applications. As an AI Engineer, you will be at the forefront of technological innovation, working with advanced tools and platforms to transform and optimize data processes.

Key Responsibilities:

• Data Ingestion and Processing: Design and implement robust data pipelines to collect, clean, transform, and store large volumes of data from diverse sources.
• Data Preparation: Preprocess and transform data into formats suitable for machine learning algorithms.
• Feature Engineering: Develop and select relevant features that improve the performance of machine learning models.
• Data Support for Models: Collaborate with Data Scientists, ML Engineering Professionals, and other cross-functional teams to integrate AI solutions into systems and processes. This includes optimizing AI solutions to handle large volumes of data efficiently.
• Scalability: Design and implement scalable data architectures to support the growing demands of AI applications.
• Performance Optimization: Continuously optimize data processing and model inference for efficiency and speed.

Required Skills:

• Strong Programming Skills: Proficiency in Python, Java, or Scala.
• Data Engineering Tools: Experience with Big Data (BigQuery, Hive), processing unstructured and structured data, understanding of call center data, media data processing, clickstream, and real-time data processing. Experience with ETL tools like Databricks or equivalent.
• Cloud Platforms: Expertise with GCP cloud environment.
• Machine Learning Frameworks: Familiarity with TensorFlow, PyTorch, Vertex AI, or other ML frameworks.
• Data Modeling: Understanding of data modeling techniques and database design.
• Data Pipelines: Experience with data pipeline orchestration tools like Apache Airflow.
• Problem Solving: Ability to analyze and solve complex data engineering challenges.

Qualifications:

• Bachelor's or master’s degree in computer science, Data Science, or a related field.
• Experience with machine learning and AI applications.
• 5+ years in technology and data engineering or a related role.
• 3+ years of experience in cloud.

Desired Skills:

• Experience with MLOps (Machine Learning Operations) practices.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Familiarity with data visualization tools.
• Strong communication and collaboration skills.
• Experience working with Google Cloud Platform.
• Extensive data engineering experience.
• Understanding and familiarity with AI models.

The AI Data Engineer is a key enabler of innovation, powering the development of intelligent applications that transform businesses and industries.