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Senior Machine Learning Engineer
2 months ago
Job Title: Senior Machine Learning Engineer
Altea Healthcare, a leading healthcare organization, is revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Engineer to contribute to our AI team.
Key Responsibilities:
- Develop and deploy production-ready ML models, focusing on scalability and monitoring across various healthcare applications.
- 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 ML-driven applications through quick iteration cycles.
- Maintain best practices of MLOps within the healthcare industry.
- Document 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 in 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.
Benefits:
- Competitive pay and benefits.
- Extremely valuable startup stock options.
