We are seeking a skilled and motivated Senior 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. The ideal candidate will have hands-on experience with machine learning frameworks and cloud technologies, and will be able to work collaboratively with our engineering team.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Pay: CA$90,000.00 - CA$140,000.00 per year
Job 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.
Key Responsibilities
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- 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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- 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.
Work Location: Remote
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