Join us as an Expert MLOps Engineer, specializing in the development and monitoring of AI pipelines, offering your expertise in Canada's fast-moving tech landscape.Ideal candidates will possess over 10 years of experience with a solid focus on deploying machine learning and LLM solutions. You will utilize modern cloud environments like AWS, GCP, or Azure and use tools like Mlflow for pipeline automation. Your expertise will be crucial in optimizing model performance and ensuring data integrity in production settings.Key Responsibilities:Build and oversee ML/LLM pipelines from design to deploymentMonitor real-time model performance and metricsImplement CI/CD strategies for smooth deploymentsUse data visualization tools for insights on model behaviorCollaborate with Data Engineering teams on pipeline efficiencyRequirements:10+ years of relevant experience in MLOpsExpertise with Docker, Kubernetes, and cloud toolsProficiency in Python and CI/CD methodologiesBackground in ML frameworks and versioning toolsRelated degree in Mathematics or EngineeringUtilize your MLOps expertise to design impactful AI pipelines and improve operational efficiencies.#J-18808-Ljbffr

📌 Expert Mlops Engineer For Ai Pipelines (Toronto)
🏢 Mphasis
📍 Toronto