Senior AI Engineer (Sr. Data Scientist)
Toronto Office, Canada
Your Moneris Career - The Opportunity
At Moneris, we are re-imagining commerce and shaping the future of FinTech. To do that, we empower our teams to redefine what's possible, enable them with the right tools, and support them every step of the way. Our Technology Team's goal is to connect ideas and technology to create solutions that shape the way people pay. Connection is in our DNA, and we enable our merchants, partners, and each other with the tools we need to thrive.
Connect. Impact. Grow. Turn your passion into purpose with a career at Moneris.
Location: You will be based in our Toronto office and will work in a hybrid model.
Reporting Relationship: You will report to the Director, Data Science and Development
Your Moneris Career - What you'll do
- Recognized as a technical expert within the job discipline and requires in-depth and breadth of expertise in own job discipline and broad knowledge of other job disciplines within the job discipline group. Solve unique problems that have a broad impact on the business – accountability typically spans multiple products or across a line of business
- Demonstrate proficiency with Azure AI offerings, Databricks, and Snowflake, leveraging these platforms to design and deploy advanced AI solutions.
- Participate in creating the structure for production data science workloads across the enterprise including leading on best practices, pipeline controls, and overall management of model deployment.
- Lead the design and construction of predictive models to enhance understanding of Moneris primary business and adjacent opportunities. Work is conducted based on an understanding of specific priorities.
- Design and implement AI systems incorporating Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs) to solve complex challenges.
- Build and perfect statistical techniques to achieve desired accuracy for existing projects and create solutions that help Moneris exceed current performance levels
- Develop processes to monitor model performance across the production deployment and use these tools to support engagement with other data scientists and business leads.
- Collaborate with developers, business leaders, and other data scientists to embed data science findings within analysis and reporting.
- Utilizes Microsoft Power Apps to develop scalable, user-friendly interfaces for AI-driven applications, enhancing business usability and adoption.
Your Moneris Career - What you bring
- Master's degree in a quantitative field required, or equivalent work experience.
- More than 10 years experience in analytics, data science, computer engineering, database management
- Minimum of 5 years experience in predictive modelling
- Experience in production data science pipeline management and deployment of models in a production environment.
- Experience with Azure AI services, Databricks, and Snowflake, with experience integrating these tools into production-grade AI workflows.
- Familiarity with RAG frameworks, multimodal LLMs, and their application in real-world scenarios
- Highly proficient in engaging/influencing audiences, building relationships, to achieve broader organizational goals.
Your Moneris Career - What you get
- Comprehensive Total Rewards Program including bonuses, flexible benefits starting from day 1, and your choice of either a health spending account (HSA) or personal spending account (PSA)
- RRSP matching & defined contribution pension plan
- Learning & development programs and resources including unlimited free access to Coursera and an Educational Assistance Program
- Holistic approach to your well-being, with an Employee Assistance Program for you and your family, access to 24/7 virtual health care, wellness events and a supportive workplace culture
- A workplace committed to investing in Diversity, Equity and Inclusion (DEI) through various initiatives including, employee inclusion groups (EIGs), mentorship, DEI learning and workshops, educational events, and various resources including an internal DEI website and newsletter
- Company-wide paid year-end closure & personal time off (including religious, personal, and volunteer days)
Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers
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Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.
We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Databricks Engineering FinTech LLMs Model deployment RAG Snowflake Statistics
Perks/benefits: Career development Flexible spending account Flex vacation Health care Salary bonus Team events Unlimited paid time off Wellness
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