AI Developer – ML Engineer
Enterprise Solutions Inc. · Toronto, Ontario, Canada
Apply & track with Apply EdgeTitle - AI Developer – ML EngineerType - Fulltime Location - Toronto , ON About the RoleSeeking an AI Engineer skilled in GenAI LLMOps and MLOps to design develop and deploy scalable productiongrade machine learning and generative AI solutions.ResponsibilitiesDesign develop and deploy productiongrade Machine Learning and Generative AI solutionsBuild intelligent systems including predictive ML models covering complete model lifecycle managementDevelop advanced applied Large Language Model LLM applications and RetrievalAugmented Generation RAG pipelinesAutomate complex workflows and enhance user experiences through AIdriven solutionsCollaborate with crossfunctional teams to transition AI models from prototypes to scalable secure and highperformance enterprise APIsUtilize expertise in Python programming and SQL for solution developmentImplement Generative AI techniques including LLMs LangChain LangGraphs Claude Gemini prompt engineering and LLMOpsApply Machine Learning and Deep Learning frameworks such as PyTorch TensorFlow ScikitLearn and XGBoostWork with vector databases like Pgvector and Chroma for efficient data retrievalLeverage distributed processing tools including Apache Spark and Apache IcebergEmploy MLOps practices for deployment using Docker KubernetesOpenShift and FastAPIBuild highperformance scalable APIs with Python FastAPI to expose AI capabilities required for solutionsResponsibilities - Roles and ResponsibilitiesDesign and implement endtoend AIML solutions incorporating GenAI and LLMOps best practicesDevelop and maintain scalable secure APIs for AI model deploymentManage full ML model lifecycle including training validation deployment monitoring and retrainingCollaborate with data scientists engineers and product teams to integrate AI solutions into enterprise applicationsOptimize AI workflows to ensure high performance and reliability in production environmentsStay updated with the latest advancements in Generative AI LLMOps and MLOps to continuously improve solutionsTroubleshoot and resolve issues related to AI model deployment and production systemsDocument AI system architecture deployment processes and best practicesRequired SkillsMandatory SkillsGenAI - LLMOpsPythonWe are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.