Job DescriptionPlease note: Current work authorization for Canada is required for all openings. You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement. This is a full‑time regular opportunity. The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the current Mississauga office at 3 Robert Speck Parkway.We are looking for a highly motivated and creative Machine Learning Analyst to develop innovative AI/ML solutions to complex business challenges. Your role will involve collaborating with an interdisciplinary team to leverage large datasets using highly scalable computational resources to deliver end‑to‑end AI/ML projects. You will conduct exploratory data analysis, data pre‑processing, develop ML algorithms, and assist with deployment on both on‑premise and cloud‑based platforms.What You’ll DoDevelop machine learning‑based software solutions using open source and proprietary software systems.Conduct applied research to identify and understand different algorithms and methods for use‑case development.Collaborate effectively within agile scrum sessions alongside the Emerging Technology, IS ML Ops teams and business stakeholders to develop and implement high‑impact business solutions.Rapid prototype new algorithms and approaches and conduct comparisons with existing algorithms and baselines.Iterate on model performance through error analysis, benchmarking, feature refinement, prompt evaluation, and comparison against baseline approaches.Assist the IS Infrastructure and IS ML Ops teams in designing customized ML environments as needed.Support projects through documentation, monitoring, and version control of models.Develop and evaluate Generative AI and Large Language Model solutions, including prompt engineering, retrieval‑augmented generation, document intelligence, summarization, classification, and conversational AI use cases.Work with enterprise data platforms such as Snowflake to prepare, query, transform, and analyze structured and unstructured data for AI/ML and Generative AI use cases.Explore and prototype solutions using Snowflake Cortex and related cloud AI services where appropriate.What We’re Looking ForA completed Master’s Degree in Computer Science, Statistics, Software Engineering or another STEM discipline, or equivalent working experience.Experience with data collection, data annotation, and active learning.Solid theoretical grounding in core machine learning concepts and techniques.2+ years of experience within a data science,



artificial intelligence and/or applied machine learning position.1+ year of experience with cloud computing is an asset.1+ year of experience building production machine learning models, and deploying them to solve inference challenges at scale is an asset.Strong understanding of machine learning approaches, including predictive modelling, supervised and unsupervised learning, NLP, Generative AI / Large Language Models, and model evaluation.AWS Certified Machine Learning and AWS Certified Data Analytics are assets.Investment Funds in Canada and/or Canadian Securities Course (CSI) is an asset.1–2 years of experience working with Snowflake, including strong SQL skills, data transformation, query optimization, and familiarity with Snowflake Cortex or other native AI/ML capabilities. Expands the existing Snowflake requirement.Experience using Git for version control, including GitHub, branching, pull requests, and code reviews.Practical experience with Generative AI / Large Language Model workflows, such as prompt engineering, retrieval‑augmented generation, embeddings, vector search, model evaluation, or orchestration frameworks such as LangChain, LlamaIndex, or similar tools.Familiarity with responsible AI practices, including model governance, privacy, explainability, hallucination mitigation, and secure handling of enterprise data.The Skills You BringStrong communication skills and the ability to work with diverse stakeholders in a team environment.Ability to adapt quickly in the face of change using excellent problem‑solving skills and creativity.Familiarity with popular Python‑based AI/ML libraries, such as scikit‑learn, PyTorch, pandas, NumPy, matplotlib, and associated workflows.Experience with deployment of machine learning model pipelines using AWS, such as SageMaker.Familiarity with containerization of ML models, including Docker and Kubernetes.Strong SQL skills for querying and transforming data across cloud data platforms and relational databases, including Snowflake and traditional platforms such as Oracle, SQL Server, DB2, or MySQL. Replaces: “SQL skills for querying relational databases…”Demonstrated proficiency with deep learning, ensemble‑based methods, NLP, time series analysis, and optimization techniques.Familiarity with LLM application development patterns, including prompt design, retrieval pipelines, embeddings, semantic search,



and evaluation of generated outputs.Ability to translate business problems into practical AI/ML or Generative AI solutions, while balancing technical feasibility, business value, and risk considerations.Total Rewards That Reflect Your ImpactWe believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today—and your financial well‑being tomorrow.Base Salary and Discretionary Performance Bonus: A competitive annual wage range of $105,000 to $129,000, based on your experience and qualifications.RRSP Contribution After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required.We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.Some of the ways we’ll help you feel valued and supported as part of our teamFlexible working arrangements – 100% remote, hybrid, and in‑office options.Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you.Comprehensive health benefits that start on your first day, with 100% employer‑paid premiums, that include up to $6,000 annually for mental health services and therapy.Parental leave top‑up to 100% of your salary for a period of 25 weeks.Up to $650 for home office equipment.Generous time‑off policy, including 2 paid days annually to volunteer at a charity of your choice.Diversity and inclusion programs, including an active network of Employee Resource Groups.Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation.We care a lot about fostering a compassionate, people‑centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.Fidelity Canada is an equal opportunity employer.Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally‑protected ground.Accommodation during the application process: Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at [email protected].#J-18808-Ljbffr

📌 Machine Learning Analyst - C$105,000 - C$129,000 A Year (Winnipeg)
🏢 Fidelity Canada
📍 Winnipeg