Sr. Manager, Information Security (AI)
Apply NowCompany: Annex Consulting Group
Location: Toronto, ON M4E 3Y1
Description:
Responsibilities
The role has a diverse range of objectives, which include developing an enterprise AI strategy, safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI, developing enterprise-wide scalable solutions for AI, and ultimately managing and directing processes to meet the needs of TD's AI strategy. The successful candidate will act as a subject matter expert on cross-functional teams, identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit. This requires an understanding of company and client challenges and how integrating AI capabilities can help lead to solutions.
Develop Strategic Enterprise scalable solutions for AI.
Design, develop, and implement artificial intelligence systems.
Creation and validation of algorithms, neural networks, and other machine learning techniques.
involved in the end-to-end development and deployment of machine learning models.
Maintain full stack AI/ML applications, ensuring high performance, reliability, and scalability.
Collaborate with cross-functional teams to define, design, and ship new features.
Design and implement AI algorithms that drive outcomes for stakeholders.
Cybersecurity for AI - Safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI
SME on cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit.
Manage and direct processes to meet the needs of our AI strategy.
Develop and maintain the full stack, ensuring high performance, reliability, and scalability.
transitioning ML models from development environments to production systems.
Leveraging AI to detect series anomalies, event correlation, and user experience prediction.
Model data by developing and verifying the unique machine learning models.
Design and Implement ML Algorithms
Required skills and qualifications
Bachelor's/master's degree in computer science, computer engineering, or relevant field
Minimum 7+ years in IT
2+ Years in applying AI to practical and comprehensive technology solutions
3+ Years Azure Cloud Engineer
Strong knowledge of AI Frameworks (TensorFlow, PyTorch)
Expertise on deep learning, machine learning and NLP
5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Previous experience utilizing Machine Learning and data preprocessing to Automate Processes
Proven track record of success leveraging AI to identify patterns, analyze large data sets, optimize processes, and predict future trends
Excellent communications skills and previous experience presenting to senior executives.
Using Azure AI services to deploy AI models/applications - Azure OpenAI, Azure Machine Learning, Azure AI Studio
Strong Prompt Engineering, Python Development and REST API skills
The role has a diverse range of objectives, which include developing an enterprise AI strategy, safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI, developing enterprise-wide scalable solutions for AI, and ultimately managing and directing processes to meet the needs of TD's AI strategy. The successful candidate will act as a subject matter expert on cross-functional teams, identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit. This requires an understanding of company and client challenges and how integrating AI capabilities can help lead to solutions.
Develop Strategic Enterprise scalable solutions for AI.
Design, develop, and implement artificial intelligence systems.
Creation and validation of algorithms, neural networks, and other machine learning techniques.
involved in the end-to-end development and deployment of machine learning models.
Maintain full stack AI/ML applications, ensuring high performance, reliability, and scalability.
Collaborate with cross-functional teams to define, design, and ship new features.
Design and implement AI algorithms that drive outcomes for stakeholders.
Cybersecurity for AI - Safeguarding the bank's assets by leveraging AI and combating adversarial AI with AI
SME on cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit.
Manage and direct processes to meet the needs of our AI strategy.
Develop and maintain the full stack, ensuring high performance, reliability, and scalability.
transitioning ML models from development environments to production systems.
Leveraging AI to detect series anomalies, event correlation, and user experience prediction.
Model data by developing and verifying the unique machine learning models.
Design and Implement ML Algorithms
Required skills and qualifications
Bachelor's/master's degree in computer science, computer engineering, or relevant field
Minimum 7+ years in IT
2+ Years in applying AI to practical and comprehensive technology solutions
3+ Years Azure Cloud Engineer
Strong knowledge of AI Frameworks (TensorFlow, PyTorch)
Expertise on deep learning, machine learning and NLP
5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Previous experience utilizing Machine Learning and data preprocessing to Automate Processes
Proven track record of success leveraging AI to identify patterns, analyze large data sets, optimize processes, and predict future trends
Excellent communications skills and previous experience presenting to senior executives.
Using Azure AI services to deploy AI models/applications - Azure OpenAI, Azure Machine Learning, Azure AI Studio
Strong Prompt Engineering, Python Development and REST API skills