Senior Machine Learning Engineer (AI & Media)

Senior Machine Learning Engineer (AI & Media) Job Type: Contract (6 months, long term potential) Salary: $95-100/hr Location: Remote Your New Company Our client is a leading Canadian digital organization investing heavily in Artificial Intelligence, Machine Learning, and next-generation customer experiences. Their technology teams are focused on building innovative AI-powered products that operate at massive scale and directly influence customer engagement, advertising effectiveness, and digital media performance. As part of their continued growth, they are seeking a Senior Machine Learning Engineer to support strategic AI engineering initiatives within their Media organization. Your New Role As a Senior Machine Learning Engineer, you will be responsible for designing, building, and deploying advanced machine learning and Generative AI solutions that power media and advertising products. You will collaborate closely with Data Scientists, Software Engineers, Product Managers, and business stakeholders to develop scalable AI systems capable of generating meaningful business impact. This role will focus on AI engineering, machine learning platform development, LLM-powered applications, and production-grade deployment of intelligent systems. You will help drive the adoption of modern AI technologies while establishing engineering best practices across the ML lifecycle. Design, develop, test, and deploy machine learning and AI-powered applications into production environments Build scalable LLM-based solutions leveraging Retrieval-Augmented Generation (RAG), vector search, embeddings, and Agentic AI frameworks Develop and maintain enterprise-scale machine learning pipelines utilizing structured and unstructured datasets Collaborate with software engineering teams to integrate AI capabilities into customer-facing media products and platforms Champion MLOps and LLMOps best practices, including monitoring, automation, observability, testing, and governance Build and optimize cloud-native AI solutions using Google Cloud Platform technologies Mentor and support other machine learning engineers while contributing to technical strategy and architectural decisions Research and evaluate emerging AI technologies and identify opportunities to drive innovation across the media ecosystem What You'll Need to Succeed 8-10+ years of experience building and deploying machine learning solutions in production environments Strong software engineering background with expertise in Python and SQL Experience developing scalable machine learning pipelines and production-grade AI platforms Hands-on experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), embeddings, vector databases, and Retrieval-Augmented Generation (RAG) Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar Agentic AI ecosystems Strong understanding of MLOps, CI/CD, model deployment, monitoring, and automation best practices Experience working with Google Cloud Platform services including Vertex AI, BigQuery, Cloud Storage, and Cloud Composer Experience deploying applications using Docker and Kubernetes within modern microservices architectures Strong understanding of testing methodologies including unit, integration, and end-to-end testing Excellent communication skills and experience working within cross-functional agile teams Nice to Have: Experience supporting media, ad-tech, martech, or retail media platforms Experience building recommendation engines, personalization systems, or search platforms Familiarity with real-time inference systems and large-scale distributed data processing Previous mentorship or technical leadership experience What You'll Get in Return You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. Our client is offering competitive compensation, professional development opportunities, exposure to cutting-edge AI technologies, and the opportunity to make a significant impact within a rapidly growing AI engineering practice. What You Need to Do Now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. This posting is for an existing vacancy with the organization. AI may be used to screen, assess or select applicants for the position.

Design, build, and deploy advanced machine learning and Generative AI solutions to power media and advertising products. Collaborate with cross-functional teams to develop scalable AI systems and establish MLOps best practices.

Requires 8-10+ years of experience in production ML deployment with strong expertise in Python, SQL, and LLM frameworks. Proficiency with Google Cloud Platform and containerization tools like Docker and Kubernetes is essential.

• Competitive compensation • Professional development opportunities • Exposure to cutting-edge AI technologies

• KubernetesSouhaitée
• SQLSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Large Language Models
• Generative AI
• Retrieval-Augmented Generation
• MLOps
• LLMOps
• Google Cloud Platform
• Vertex AI
• Docker
• Kubernetes
• LangChain
• Vector Databases
• Natural Language Processing
• CI/CD
• Agentic AI

• Technology
• Software
• Data & Analytics
• Engineering
• Creative & Media

Expérience minimale

10+ ans

Postuler avant le

6 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Greater Toronto Area, Canada

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte