Data Visualization jobs in Toronto, ON

The AI Data Engineer is a critical role that bridges the gap between data science and engineering, enabling the development and deployment 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 Engineering 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 and 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 or Java, or Scala.
• Data Engineering Tools: Experience with Big Data (Big query , Hive), Experience in processing unstructured and structured data , Understanding of Call center data, media data processing, Clickstream , Realtime 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.

Interested in this role, but don’t meet every requirement? We encourage you to apply! We know from experience that a candidate doesn’t need 100% of the qualifications listed to bring incredible value to our team. We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren’t just “nice to have” — they’re essential to our success.

What’s in it for you?

• Hybrid work schedule for most roles
• Company share ownership program
• Pension and savings programs, with company-matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and paid time off to study for exams
• Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market. In addition to base pay, eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.

Go ahead and expect a lot — you deserve it.

It’s better here — but don’t take our word for it. Definity was named by Great Place to Work ® as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting accessibility@definity.com .

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).

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