Get AI-powered advice on this job and more exclusive features.This range is provided by BrickRed Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$60.00/hr - $65.00/hrJob TitleStaff/Lead Machine Learning EngineerWe are looking for aStaff/Lead Machine Learning Engineerto build and scaleproduction-grade AI systemsthat directly power our core product offerings. You will ownend-to-end ML and GenAI pipelines —from research to large-scale deployment—while drivingperformance, reliability, cost-efficiency, and revenue impact .This role is ideal for someone who thrives inzero-to-one product AI development, low-latency inference, and platform-level MLOps engineering.What You’ll OwnOwn thefull lifecycle of ML & GenAI featuresin production—from problem framing to monitoring and optimization.Build and scalelow-latency, high-throughput inference servicesfor OCR, Speech AI, Search, and LLM applications.Design and evolve the company’scentral ML platform & MLOps foundations .LeadLLM fine-tuning, RAG workflows, and agentic AI systemsfor product use-cases.Drivecloud cost optimization, scalability, and reliabilityfor AI workloads.Partner withProduct, Backend, Infra, and Data teamsto ship customer-facing AI features.Defineengineering standards, reviews, and mentorshipfor the ML organization.Core ResponsibilitiesDevelop and deploydeep learning, NLP, and GenAI models .ImplementRAG, federated search, and multi-agent AI systems .Production & Inference SystemsBuildreal-time ML servicesusing NVIDIA Triton, TensorRT, and ONNX.Achievesub-second inference latency and high RPS throughput .Designevent-driven, microservice-based inference pipelines .MLOps & PlatformArchitectCI/CD pipelines for ML, automated validation, and model governance.Build and operatefeature stores, training pipelines, and monitoring systems .Deploy and scale onAWS & Azure using Kubernetes,



GPU compute & autoscaling .Owncost-performance tradeoffsfor large-scale inference and training.Required SkillsInference:NVIDIA Triton, TensorRT, ONNX, CUDAMLOps:MLflow, Airflow, Databricks, Kedro, CI/CDWhat Sets You Apart (Ideal Background)Builtreal-time OCR, Speech-to-Text, and Search systemsat scaleDesignedML platforms used across multiple teams/productsProvencost savings in cloud spendandrevenue‑driving AI deploymentsExperience buildinghealthcare or enterprise‑grade AI productsPatent, open‑source contributions, or competitive ML achievementsBusiness Impact You’ll DriveReduceAI infrastructure cost by 50–75%Shiprevenue‑generating AI featuresImprovetime‑to‑market for ML features from months to daysEnablecompany‑wide AI adoption through reusable platformsEducationMaster’s or Bachelor’s inMachine Learning, AI, Computer Science, or ECEAbout BrickRed SystemsBrickRed Systems is a global leader in next‑generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. BrickRed Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client‑centric passion for innovation and delivery excellence.With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper‑automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionInformation TechnologyIndustriesIT Services and IT Consulting#J-18808-Ljbffr

📌 Lead Machine Learning Engineer - $60 - $65 An Hour (Toronto)
🏢 BrickRed Systems
📍 Toronto