AI Associate Engineer I (B3617)

Lieu De Travail

Toronto, Ontario, Canada

Horaire

37.5

Secteur D’activité

Solutions technologiques

Détails De La Rémunération

$59,500 - $84,000 CAD

La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.

Description Du Poste

The Associate AI Engineer I is responsible for supporting feature engineering and data preprocessing activities, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.

Key Responsibilities

• Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.
• Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
• Deploy models into production using CI/CD pipline.
• Build scalable microservices or APIs to serve ML models in real time.
• Implement monitoring for model drift, performance, and reliability.
• Collaborate with data engineering teams to define data requirements.
• Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
• Ensure data quality, governance, and security
• Evaluate new AI frameworks, tools, and techniques.
• Prototype solutions and run experiments to explore feasibility.
• Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
• Work with product managers and business teams to translate business problems into AI solutions.
• Partner with cloud engineers and DevOps teams for scalable deployment
• Communicate complex technical concepts to non-technical stakeholders.

CUSTOMER

• Develop new solutions as required for engineering programs and projects within assigned area and may also develop prototypes and proof of concepts aligned to business needs
• Participate in the conceptual and logical engineering designs around the advancement of the overall assigned portfolio
• Analyze the technical requirements to recommend pragmatic and sound engineering specific solutions for own area
• Work with other stakeholders, internal technology partners to ensure engineering solutions meet technical direction, requirements, performance, time-to-market and innovation goals
• Contribute enterprise and/or line of business engineering strategies and mandates
• Respond to routine or standard requests from internal and/or external customers

SHAREHOLDER

• Understand relationships between work processes and the business and ensure awareness of costs related to own work
• Monitor product lifecycles, ensuring specifications and functionality support business objectives and engineering decisions, undertaking re-development where required
• Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or project
• Participate in quality management reviews, in particular reviews of the designs, prototypes and other requirements work products to ensure they fulfill the requirements
• Develop as-built program activities to establish the level of detail needed using configuration management processes
• Provide support to modifications to ensure the accuracy of drawings and other technical baseline documents

EMPLOYEE / TEAM

• Continuously enhance knowledge / expertise in own area and keep current with leading-edge technologies and trends
• 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 within the team and business units
• Establish effective relationships across multiple business and technology partners, program and project managers
• Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team

BREADTH & DEPTH

• Basic working knowledge of specific domain or engineering frameworks, technology, tools, processes and procedures
• Foundational knowle