Artificial Intelligence Engineer at Ace 1 Media
Vancouver, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

90000.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Cloud Services, Bash, Scripting, C, Sql, Aws, Database, Design Principles, Java, Power Bi, Azure, Languages

Industry

Information Technology/IT

Description

JOB TITLE: ARTIFICIAL INTELLIGENCE ENGINEER

Location: Vancouver, BC or Ontario (Fully Remote)
Job Type: Full-time
Salary: CAD $90,000 – $140,000 annually

JOB SUMMARY

We are seeking a skilled and motivated Artificial Intelligence Engineer to join our team. This role offers the opportunity to design, build, and deploy advanced artificial intelligence solutions across a variety of projects. You will work with large datasets, machine learning models, and cloud technologies to deliver innovative, high-impact results.

REQUIRED SKILLS & QUALIFICATIONS

  • Proficiency in Python and familiarity with languages such as Java, C, or R.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Spark ML).
  • Strong knowledge of SQL and database design principles.
  • Experience with big data tools (e.g., Hadoop, Spark) and visualization tools (e.g., Looker, Tableau, Power BI).
  • Understanding of ETL processes and data integration workflows.
  • Strong analytical and problem-solving skills, with experience deploying models into production environments.
  • Familiarity with cloud services (AWS, GCP, or Azure).
  • Knowledge of Unix/Linux environments and scripting (Bash) is an asset.
    Job Type: Full-time
    Pay: $90,000.00-$140,000.00 per year
    Work Location: Remot
Responsibilities
  • Design, develop, and deploy artificial intelligence and machine learning models for practical applications.
  • Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
  • Build and optimize pipelines for model training, testing, and deployment.
  • Collaborate with the engineering team on database design, ETL processes, and data integration.
  • Research and apply emerging techniques in natural language processing, computer vision, and predictive analytics.
  • Utilize cloud platforms (AWS, GCP, or Azure) and big data technologies (e.g., Spark, Hadoop) to create scalable solutions.
  • Create dashboards and visualizations to communicate findings to stakeholders.
  • Document workflows, findings, and results for both technical and non-technical audiences.
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