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Senior Machine Learning Engineer

3 months ago

Vancouver, Canada Altea Healthcare Full time

Senior Machine Learning Engineer, MLOps


ALTEA 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 healthcare
  • Write efficient, maintainable, and scalable Python code
  • Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code
  • Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining
  • Build high-performance deployment architectures and model monitoring systems
  • Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles
  • Maintain best practices of MLOps practices within the healthcare industry
  • Document 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 experience
  • At least 6+ years of relevant experience as an MLOps Engineer
  • 6+ years of experience doing MLOps, model monitoring, drift detection, and model retraining
  • Azure Machine Learning Studio
  • Experience with transformer-based models and NLP, preferably in a healthcare context
  • Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace
  • Track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe
  • Strong 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, Kafka
  • Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines


Job Type: Full-time

Pay: Competitive pay and benefits and extremely valuable startup stock options

Schedule: Full Time

  • Work Location: Hybrid position in Vancouver

Benefits:


  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance