Td Bank Engineer II - AI ML Cloud Platform Canada, Ontario, Toronto 654108112
Job Description:
We are looking for an Azure AI / ML Engineer to deliver enterprise dataservices/capabilitiesand solutions on Azure. The perfect candidate will have previous AI / ML cloud experience delivering enterprise data solutions within financial services including knowledge of the security and regulatory requirements.
The role is focused on Azure AI and ML services.You will work in collaboration with cloud engineering, network, security and risk management to deliver secured Azure AI and ML solutions that meet security policies and standards within TD. You will collaborate with developers in our Azure engineering team and lines of business to implement and continuously improve the framework and tools to support self-service automation of the AI and ML services.
KEY ACCOUNTABILITIESCUSTOMER
- Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
- Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
- Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
- Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
- Act as the expert or lead innovator and agent of change for the programs and services under management
- Work with other teams to implement best practices for engineering and management
- Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
- Identify and effectively manage stakeholder engagement and impacts across the enterprise
- Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
SHAREHOLDER
- Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
- Monitor and control costs within own work
- May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
- May develop and/or contribute to negotiations of third party contracts/agreements
- Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
- Proactively identify emerging technologies and innovative solutions for building more robust platform domains
EMPLOYEE / TEAM
- Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
- Prioritize and manage own workload in order to deliver quality results and meet timelines
- Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
- Participate in knowledge transfer with senior management, the team, other technical areas and business units
- Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
- Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
BREADTH & DEPTH
- Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
- Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
- Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
- Acts as a key contributor in a complex and critical environment
- May provide leadership to teams or projects; shares expertise
- Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
- Generally reports to a Senior Manager or above
- Passionate about deep learning and natural language models
- AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models.
- Collaborate with internal application development teams to leverage AI/ML services to solve business objectives
- Understand security, risks and mitigations to load data and training models securely into Cloud
- Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
- Write and use Azure RM and Terraform templates
- Understand Azure security features (data protection, authentication, RBAC, etc)
- Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for Paas services and applications
- Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, routing
- Proficiency in cloud automation using native Azure CLI
- Understand concepts related to deploying platform and data analytics via CI/CD pipeline
- Ensure that all cloud solutions follow internally defined security and compliance controls
- Develop/Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms
- Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
- A critical thinker with strong research and analytics skills
- Self-motivated with a positive attitude and an ability to work independently and in a team
EXPERIENCE & EDUCATION
- University or post-graduate degree
- Strong academic background (e.g., computer science, engineering)
- 7 + years relevant experience
- 3+ years AI and ML platform engineer
- 5+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
- Strong expertise with delivering Cloud Infrastructure As Code (IAC) leveraging CI/CD pipelines, Terraform and Git Actions.
- Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
- Must be a self-starter, demonstrated ability to take independent action to achieve results.
- Highly developed critical thinking, analytical and problem solving skills
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
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