Senior Machine Learning Engineer

4 weeks ago

Vancouver BC, Canada Altea Healthcare Full time

Senior Machine Learning Engineer, MLOpsALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable ML models, including predictive/classification and NLP/NLU models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.Responsibilities:Develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcareWrite efficient, maintainable, and scalable Python codeCollaborate with machine learning scientists and data engineers to translate prototype code to production-ready codeSet up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retrainingBuild high-performance deployment architectures and model monitoring systemsIncorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cyclesMaintain best practices of MLOps practices within the healthcare industryDocument the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.Requirements:Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experienceAt least 6+ years of relevant experience as an MLOps Engineer6+ years of experience doing MLOps, model monitoring, drift detection, and model retrainingAzure Machine Learning StudioExperience with transformer-based models and NLP, preferably in a healthcare contextExtensive experience with TensorFlow or PyTorch, and familiarity with HuggingFaceTrack record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServeStrong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, KafkaAbility to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelinesJob Type: Full-timePay: Competitive pay and benefits and extremely valuable startup stock optionsSchedule: Full TimeWork Location: Hybrid position in VancouverBenefits:401(k)Dental insuranceHealth insuranceVision insurance

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