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 4-5 years of relevant experience as an MLOps Engineer
• 4-5+ 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: $150,000-$170,000 DOE and benefits and extremely valuable startup stock options

Schedule: Full Time

• Work Location: Onsite in Burnaby

Benefits:

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