Job Description

NOTE: Hybrid work model, 2 days/week in Toronto, Ontario office.

TYPE: 6-Month Contract

SKILLS: Data Engineer, LLM, RAG, ML, AI, Azure AI, OpenAI, Power BI, Microsoft Fabric, Databricks, Copilot Studio, Python, C#, Java, Data Warehouse, ETL, Data Modeling, SaaS, Azure, AWS, GCP, Git

INDUSTRY : Investments, Bank

DESCRIPTION:

You will collaborate with Middleware/Product/Data Engineering, Data Scientists, and business stakeholders to deliver well-managed and supported AI + Analytical Platforms within the organization. This includes technologies like Generative AI/large language models (LLMs ), agent-based and RAG systems, Power BI/Fabric and Machine learning. Your role will be to maintain, manage and enhance these platforms: including continuous improvement, refinement and exploration of new features to meet evolving business needs and leverage the latest technological advancements.

• You'll join the Data, Analytics & AI team, a multidisciplinary group of data scientists, data analytics specialists, data engineers, and data visualization experts. Collaborating closely in this environment, you'll support the development of Generative AI applications and the delivery & management of Analytical & AI technologies.
• You’ll also work directly with our Middleware & Product engineering team, Product Owners, Enterprise Architects, Software developers, and internal business team clients (Capital Markets, Quants, Private Investment, and more).
• You will report to Senior Analytical Technology Manager, Data Science & Advanced Analytics
• Supporting and maintaining the Analytical & AI platforms, which include Azure AI Services (OpenAI), Power BI/Fabric, Databricks , and Copilot Studio .
• Help with driving user adoption and best practices through training and support, fostering a community of practice, ensuring continuous improvement, and exploring and experimenting with innovative ways to leverage these tools for maximum business value:
• Facilitate support requests by managing their intake process: organizing requests, prioritizing, and addressing issues
• Working with cutting-edge technology to build AI solutions
• Monitoring and maintaining the health, performance, and cost of the technologies to identify areas for improvement and automation
• Addressing inquiries from various roles in the business, offering guidance on effective technology utilization, such as AI and Analytical technologies
• Conducting training sessions and creating materials, assisting with onboarding and setup, and developing/maintaining user documentation and knowledge resources.
• Be able to research independently for potential solutions to problems encountered.
• Develop and implement use cases that demonstrate the value of these technologies in driving business outcomes

REQUIREMENTS:

• A degree in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or equivalent experience and certifications.
• Strong customer service skills and a drive to provide effective and timely support and resolution of issues with professionalism.
• Ability to troubleshoot complex problems involving multiple systems and components.
• Strong desire to work in a team-based and collaborative environment.
• Proven ability to quickly learn and understand complex subject matters.
• Experience in writing documentation and procedure manuals for various audiences.
• Problem-solving mindset: Tackle complex challenges, identify and resolve technical roadblocks, and contribute to innovative solutions.
• Accountable for work, investing time in research, learning, and practice to become an expert in our offerings
• Willingness to learn new technologies and adapt to a rapidly evolving data landscape.
• Proficiency in one or more programming languages like Python, C#, Java
• Strong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technology.
• Proven track record of staying current with technology
• Understanding of machine learning concepts and experience building data pipelines to support ML/AI workloads is a plus.
• Basic understanding of data warehousing, ETL processes, and data modeling concepts.
• Basic knowledge of SQL or other query languages for data exploration and troubleshooting.
• Working knowledge of low-code SaaS and Cloud Data Platforms
• Knowledge in a scripting language for automating administrative tasks and workflows.
• Public Cloud Technical Expertise such as Azure, AWS and GCP
• Understanding of DevOps principles and practices, including automation, monitoring, and continuous delivery.

Experience in industry or an academic setting of:

• Technical support, technical consulting experience, or information technology experience
• Experience and demonstrated expertise in managing and supporting SaaS or PaaS
• Demonstrated experience with communication and interpersonal skills, including written and presentational, with the ability to work and engage with a diverse range of customers and stakeholders at all levels.
• Experience in Cloud computing
• Experience with version control systems (e.g., Git ) and CI/CD pipelines.
• Experience working in an Agile environment.
• Experience documenting business processes, gathering service requirements from diverse groups of stakeholders, to inform current and future service provision.
• Experience / Knowledge with surrounding technologies such as SharePoint, OneDrive, Teams , and wider M365 applications.
• Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG , finetuning, etc and frameworks will be an asset.

TO APPLY:

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