AI Engineer
- Engineer, BC, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
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AI Engineer
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities.
Responsibilities:
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities.
Responsibilities:
Product
AI Engineer
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities.
Responsibilities:
- Design, develop and implement AI/ML models, algorithms, and other software to power our products
- Research and evaluate new AI techniques and technologies to improve our platform
- Collaborate with product and engineering teams to identify use cases for AI and integrate models into existing infrastructure
- Optimize model performance for metrics like accuracy, latency, and scalability
- Establish processes and best practices for development and deployment of AI systems
- Experience in developing and deploying AI or ML systems
- Strong software engineering skills and experience with languages like Python and Go
- Experience with cloud platforms like AWS, GCP or Azure
- Knowledge of AI best practices related to bias, explainability, and ethical AI
- BS or MS degree in Computer Science, Engineering or related technical field
- Experience taking AI models into production
- Background in eCommerce or related fields
We are an early stage startup developing cutting-edge AI technology. We are looking for a talented AI engineer to join our small but growing team. You will have the opportunity to take on a role in shaping our AI architecture and capabilities.
Responsibilities:
- Design, develop and implement AI/ML models, algorithms, and other software to power our products
- Research and evaluate new AI techniques and technologies to improve our platform
- Collaborate with product and engineering teams to identify use cases for AI and integrate models into existing infrastructure
- Optimize model performance for metrics like accuracy, latency, and scalability
- Establish processes and best practices for development and deployment of AI systems
- Experience in developing and deploying AI or ML systems
- Strong software engineering skills and experience with languages like Python and Go
- Experience with cloud platforms like AWS, GCP or Azure
- Knowledge of AI best practices related to bias, explainability, and ethical AI
- BS or MS degree in Computer Science, Engineering or related technical field
- Experience taking AI models into production
- Background in eCommerce or related fields
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Responsibilities
Design, develop, and implement AI/ML models, algorithms, and software, while researching new techniques and integrating AI into existing products and infrastructure. Optimize models for accuracy, latency, and scalability, and establish best practices for developing and deploying AI systems.
Requirements
Candidates should have experience developing and deploying AI or ML systems, strong software engineering skills, and experience with Python and Go. The role requires familiarity with cloud platforms and responsible AI practices, plus a bachelor's or master's degree in computer science, engineering, or a related technical field.
Skills
- AI/ML Model Development
- AI Architecture
- Algorithm Development
- Python
- Go
- Cloud Platforms
- AWS
- GCP
- Azure
- Model Performance Optimization
- AI Model Deployment
- Bias Mitigation
- Explainable AI
- Ethical AI
- Software Engineering
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Science & Research
Keywords
- Artificial Intelligence
- Machine Learning
- AI Architecture
- AI/ML Models
- Algorithms
- Python
- Go
- AWS
- GCP
- Azure
- Cloud Platforms
- Model Deployment
- Model Performance
- Accuracy
- Latency
- Scalability
- Bias
- Explainable AI
- Ethical AI
- Software Engineering
- Product Integration
- eCommerce