Sr. AI/ML Engineer

Company description Publicis Groupe Canada is the Canadian subsidiary of Publicis Groupe, one of the largest communications group in the world and a global leader concentrated within four main activities: Communication, Media, Data and Technology. Publicis Groupe Canada represents the vision of a set of collaborative and integrated agencies that offer expertise and insightful services to many of the biggest brands in North America. Canadian brands include: Publicis Canada (Publicis Canada, Hawkeye, Razorfish, Publicis Health, ThePubProductions, Nurun, Publicis Sports & Entertainment), Publicis Media (Starcom, Spark Foundry, Zenith), Leo Burnett (Leo Burnett Canada, Ove Brand Design, Leo Burnett Design), Saatchi & Saatchi (Saatchi & Saatchi Canada, Synergize, TPM),MSL Canada/North Strategic (North Strategic, MSL Canada, Notch Canada) and Publicis Sapient. Overview We are looking for a Senior AI/ML Engineer to design, build, and deploy production‑grade artificial intelligence solutions that deliver measurable business impact. This role focuses on turning AI concepts into robust, scalable systems that can be adopted and used effectively by real teams and organizations. You will work closely with AI strategists, data scientists, analysts, and engineers to integrate machine learning and generative AI capabilities into enterprise applications. The role blends strong software engineering foundations with applied AI expertise, and requires comfort operating across the full lifecycle—from design to deployment and adoption. Responsibilities AI & Application Development • Design, develop, and integrate AI‑powered components into production software systems. • Embed machine learning and generative AI capabilities into applications using modern frameworks and services. • Translate business and user needs into reliable, maintainable AI‑enabled solutions. • Collaborate with data scientists and data engineers to operationalize models and ensure they perform effectively in real‑world environments System Integration & Architecture • Build software infrastructure that supports AI model integration, orchestration, and lifecycle management. • Apply agent‑based and service‑oriented patterns where appropriate to support complex AI workflows. • Ensure solutions integrate cleanly with existing enterprise systems and data platforms. • Contribute to architectural decisions that balance scalability, performance, and maintainability. Cloud, DevOps & Deployment • Implement and maintain CI/CD pipelines for AI models and applications. • Assist deployment automation using infrastructure‑as‑code and modern DevOps practices. • Ensure reproducibility, reliability, and observability of AI systems in production. • Support smooth handoff from development to operation Collaboration & Client Enablement • Work closely with cross‑functional teams to deliver end‑to‑end AI solutions. • Support clients and internal stakeholders in adopting and using AI‑enabled systems. • Clearly communicate technical concepts, trade‑offs, and implementation considerations. Qualifications • 6+ Years of experience in AI/ML Development and Machine Learning • 4+ years of experience in Python, SQL, Git, Docker, and working with both relational and NoSQL databases. • 4+ years of experience developing and deploying cloud‑based solutions (AWS, GCP, Azure) as well as working with API‑based integrations. • Work experience working with Spark • Strong software development principles (unit testing, clean code, code reviews) and are familiar with MLOps concepts, data infrastructures (Data Lake, Data Warehouse, Blob storage), and database modeling. • Experience with generative AI frameworks and large language models (LLMs) in production • Knowledge of mathematics, statistics, data exploration and visualization, as well as experience in applied machine learning (time series, NLP, computer vision), are considered strong assets. • Comfortable working in Agile or iterative delivery environments. Nice to Have • Hands‑on exposure to MLOps practices (model versioning, monitoring, CI/CD for ML) • Experience in regulated or privacy‑sensitive environments. • Knowledge of data engineering concepts (data pipelines, feature stores, streaming) • Prior experience supporting multiple products or clients within a shared platform ecosystem. • Experience with marketing technology (MarTech) platforms, such as CDPs, CRMs, marketing automation, or analytics tools Additional information • Location & Eligibility: Candidates must be based in the Greater Toronto Area with valid Canadian work authorization of at least 12 months. • Hybrid Work: This role follows a hybrid model with 3 days per week at our Toronto office: 111 Queen St. E, Suite 200, Toronto, ON M5C 1S2. • Compensation: The salary range for this position is $110,000–$145,000 per year, based on experience, skills, and relevant certifications. We believe in pay transparency and are committed to offering competitive, market-aligned compensation. • Flexibility & Global Mobility: Work remotely for up to 6 weeks per year from any of our 50+ global offices through our Work Your World program. • Time Off: - Up to 3 weeks annual vacation, with additional paid closure between Christmas and New Year's - Extended long weekends for provincial holidays — we give you both the Monday and Friday so you get a full 4-day break - 6 sick days and 2 personal days per year • Benefits: Comprehensive group coverage including: - Medical, dental, and vision care - Psychological and paramedical services - Disability insurance - Fertility support and gender-affirming care - Dedicated internal guidance programs for employees navigating cancer, fertility treatments, or gender transition We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people. Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416-925-7733 or by email at [email protected]