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Senior Machine Learning Engineer
1 month ago
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
