Closed listing
Operations Specialist AI
- Toronto, ON, Canada
$80,000 to $115,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $80,000 to $115,000 CAD / year
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Overview
Join our innovative team as an Operations Specialist AI, where you will play a pivotal role in managing and optimizing artificial intelligence-driven operations. This dynamic position offers the chance to work at the forefront of AI technology, ensuring seamless workflows, data integrity, and operational excellence. You will collaborate with cross-functional teams to implement AI solutions that enhance efficiency, accuracy, and scalability across various business processes. If you’re passionate about leveraging AI to transform operations and thrive in a fast-paced environment, this is your opportunity to make a meaningful impact.
Responsibilities
- Monitor and maintain AI systems to ensure optimal performance and reliability across operational platforms
- Collaborate with data scientists and engineers to troubleshoot issues and implement improvements in AI models and workflows
- Develop and refine operational procedures for deploying AI solutions at scale, ensuring compliance with company standards
- Analyze operational data generated by AI systems to identify trends, anomalies, and opportunities for process enhancement
- Coordinate with IT and security teams to ensure data privacy, security protocols, and system integrity are upheld
- Assist in training team members on new AI tools and functionalities to maximize adoption and effectiveness
- Document processes, system updates, and incident reports meticulously for continuous improvement
Requirements
- Proven experience working with artificial intelligence or machine learning systems within an operational environment
- Strong understanding of data management, data quality assurance, and analytics tools relevant to AI workflows
- Excellent problem-solving skills with the ability to troubleshoot technical issues efficiently
- Familiarity with cloud platforms, APIs, scripting languages (such as Python), and automation tools is highly desirable
- Exceptional communication skills to collaborate effectively across technical and non-technical teams
- Ability to adapt quickly in a fast-changing technological landscape while maintaining attention to detail
- Bachelor’s degree in Computer Science, Data Science, Engineering or a related field; relevant certifications are a plus
Join us in shaping the future of operational excellence through cutting-edge AI solutions! We’re dedicated to empowering our team members with the tools they need to succeed while fostering a vibrant, innovative workplace.
More about this job
Responsibilities
Monitor and maintain AI systems, troubleshoot issues with data scientists and engineers, and improve AI workflows and deployment procedures. Analyze operational data, uphold data privacy and system security, train team members on AI tools, and document processes and incidents.
Requirements
Requires experience working with AI or machine learning systems in an operational environment, along with knowledge of data management, data quality, and analytics. Strong problem-solving and communication skills are required; familiarity with cloud platforms, APIs, Python, and automation tools is desirable, as is a bachelor's degree in a related field.
Skills
- Artificial Intelligence
- Machine Learning
- AI Systems Monitoring
- Data Management
- Data Quality Assurance
- Data Analytics
- Troubleshooting
- Cloud Platforms
- APIs
- Python
- Automation
- Operational Process Improvement
- Data Privacy
- Information Security
- Cross-Functional Collaboration
- Technical Documentation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
Keywords
- Artificial Intelligence
- Machine Learning
- AI Operations
- AI Workflows
- AI Model Improvement
- Data Management
- Data Quality Assurance
- Operational Data Analysis
- Analytics Tools
- Cloud Platforms
- APIs
- Python
- Scripting Languages
- Automation Tools
- Operational Procedures
- Process Improvement
- Data Privacy
- Security Protocols
- System Integrity
- Incident Reports
- AI Deployment
- Cross-Functional Collaboration
- Computer Science
- Data Science
- Engineering