Lead AI Integration Specialist
4 weeks ago
About the Role
We are seeking a highly skilled Lead AI Integration Specialist to join our team at the Municipal Property Assessment Corporation (MPAC). The successful candidate will lead the identification, development, and implementation of AI models and algorithms, and ML solutions to meet business requirements.
Key Responsibilities:
- Consult with stakeholders on identifying artificial intelligence capabilities and business opportunities and defines AI/ML Models roadmaps and schedules
- Develops project plans and work task breakdowns, estimating effort and costs of development, enhancement, maintenance, and support activities, and identifying resource requirements for AI/ML tasks and implementation
- Creates and executes test strategies, including AI/ML model validation, to ensure design meets business and performance requirements, platform interoperability, and IT architectural standards
- Collaborates with IT management and other IT team members to oversee all phases of incident, problem, and change management processes, with a focus on AI/ML components
Requirements:
- Completion of a university degree in Computer Science, Engineering, AI/Data Science, or a related field
- Minimum of 7 years of progressive development and/or IT project management experience in a senior technical role. AI/ML experience considered an asset
- A minimum of three (3) years' experience in a team leader capacity demonstrating effective leadership skills to direct and coordinate a team of professionals in AI/ML application development
- Experience creating and using artificial intelligence / machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Advanced knowledge of various IT technologies; theory and principles of systems design and development; the SDLC and related AI/ML methods/techniques/standards
- Analytical and interpretative reasoning to assess client IT needs, interpret AI blueprints, determine appropriate technical requirements, and develop AI solutions that are cost-effective and improve client program/service delivery
- Advanced knowledge of systems (Windows, Linux), relational and non-relational database structures, cloud systems, AI/ML frameworks, security, storage, and fault management
- Knowledge and understanding of AI ethics, data privacy, and model bias mitigation
- Effective interpersonal, conflict resolution, team building, and client relationship management skills
- Oral and written communication skills to liaise with clients, vendors, project team, and peers, and to prepare project reports, briefing reports, AI model documentation, and systems documentation
We Offer:
- A team of highly skilled, dedicated and collaborative staff
- Leadership that supports you
- An enterprise that embraces change
- A work environment that has flexible work locations (including remote), hours of work and overall employee wellness support
How to Apply
Please submit your application through our Applicant Tracking System.
MPAC is committed to fostering an inclusive, accessible environment where all employees and members of the public feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the public and communities we serve.
Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may email their request to careers@mpac.ca.
We thank all applicants for their interest; however, only those selected for further consideration will be contacted.
Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate licenses during their period of employment at MPAC as outlined in our Employee Code of Conduct.
Job advertisements for positions that have been designated bilingual will be posted in both English and French on our website. Positions that are not designated bilingual are not translated and are only posted in English on the English version of our website.
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