Machine Learning Engineer

Machine Learning Engineer Location: Remote - Ontario The total target compensation (TTC) range, including salary and target bonus, is $104,041 - $153,690. This TTC range is applicable to permanent roles only. The actual base salary offered within this range will be determined by the successful candidate’s skills and experience, as well as internal equity. Empire Life is looking to hire a Machine Learning Engineer to join our Data and Analytics team! We are actively seeking candidates to fill a current, open position. The Machine Learning Engineer plays a critical role within the AI and Data Science team, responsible for designing, building, deploying, and operationalizing scalable, production-grade machine learning and Generative AI (GenAI) solutions. Operating within a modern Microsoft Azure and Snowflake-based ecosystem, this role focuses on AI solution architecture, MLOps, robust ML pipelines, observability, and platform scalability. The Machine Learning Engineer bridges the gap between experimentation and enterprise delivery, collaborating closely with Data Scientists, software engineers, and cloud teams to enable secure, reliable AI capabilities—including LLM-based applications, Retrieval-Augmented Generation (RAG), intelligent document processing, and agentic AI workflows. This role reports to the Director of Data and AI strategy. Why pursue this opportunity Join a transforming business - we are a medium-sized Canadian company in a stable industry that emphasizes the importance of innovation to use industry-leading technology. Play an integral role - this is an opportunity that allows for you to grow your skills, while directly contributing to the business unit you are a part of. The opportunity - collaborate with cross-functional teams and work on a variety of projects that will keep you engaged and continuously learning. Hone your skills - this is an opportunity that allows for you to grow your technical, and functional skills. What you’ll be working on Collaborate with data scientists, software engineers, cloud infrastructure teams, and business stakeholders to design scalable AI and machine learning solutions aligned with enterprise requirements Design, develop, and optimize scalable AI/ML pipelines for data ingestion, feature processing, model training, evaluation, deployment, and monitoring Operationalize feature engineering, model serving, vector search, and inference workflows for production AI applications Deploy and maintain machine learning and Generative AI solutions in secure, scalable, and highly available production environments Implement testing, validation, observability, and monitoring frameworks to support reliability, performance, and governance of AI systems Partner with DevSecOps and cloud engineering teams to automate CI/CD workflows, infrastructure provisioning, model deployment, monitoring, and operational support for AI platforms Develop and support Generative AI systems including LLM integrations, retrieval-augmented generation (RAG), vector databases, orchestration frameworks, and intelligent agents Support MLOps, LLMOps, and emerging AIOps practices including model lifecycle management, deployment automation, drift monitoring, evaluation pipelines, logging, and operational governance. What we’re looking for you to have Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field 3+ years of working experience with hands-on industry experience designing, developing, and deploying machine learning or AI-enabled applications Strong understanding of cloud-native AI and data platforms, particularly within Microsoft Azure ecosystems and enterprise data environments such as Snowflake Strong software engineering and system design experience focused on scalable AI/ML applications, distributed systems, APIs, cloud-native services, or enterprise platform engineering Demonstrated experience building and operationalizing machine learning, Generative AI, or intelligent automation solutions in enterprise or production environments Strong programming skills in Python and SQL with experience building production-grade applications, automation workflows, APIs, and AI services Familiarity with AI evaluation frameworks, monitoring systems, observability tooling, and operational telemetry for AI applications. Familiarity with modern Generative AI ecosystems including LLM APIs, retrieval-augmented generation (RAG), vector databases, orchestration frameworks, prompt engineering, and agentic AI systems Understanding of MLOps, AIOps, observability, AI governance, model lifecycle management, and operational reliability practices Microsoft, Azure, Kubernetes, Snowflake, Databricks, or cloud engineering certifications are considered an asset Strong communication, collaboration, and problem-solving skills with the ability to work across technical and business teams If you are applying for a position which is open to applicants across Canada, unless otherwise indicated in the position, language proficiency in English is required for communicating with customers, advisors, or employees across Canada. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Beyond the salary For permanent full-time positions, Empire Life offers a comprehensive total rewards package that includes: Hybrid work model Competitive salaries with annual pay increases Annual bonus program, which recognizes both strong company performance and individual contributions, for non sales positions Access to learning & development programs, and education/tuition reimbursement (role dependent), to support your professional growth and career advancement. Competitive uncapped commission, for sales positions A comprehensive employer-funded benefits package starting from day one of employment, that includes life insurance, health and dental and a generous health account Flexible work arrangements and an annual allotment of personal health days. Four weeks annual vacation from hire date A defined contribution pension plan with generous employer matching Top up programs for parental leave and compassionate leave Employer-sponsored wellness and recognition programs A cash employee referral program To learn more about working at Empire Life, visit https://www.empire.ca/workatempire . Get to know us Empire life is proud to be an equal opportunity employer. We celebrate diversity, are committed to creating an inclusive environment, and welcome everyone to participate in our application process. We encourage those of all backgrounds and experiences to apply, even if you don't believe you meet each unique qualification outlined. A pplicants will receive equal consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age. Empire Life is proud to be an equal opportunity employer, dedicated to building an inclusive and barrier-free workplace. We welcome applications from people with disabilities and are committed to providing accommodations at any stage of the recruitment process. If you require a specific adjustment to help you present your best self, please let us know—we are happy to work with you. If you need this job posting in an alternative format or have any accessibility questions, please contact [email protected] .