Senior Machine Learning Engineer
3 weeks ago
Senior Machine Learning Engineer - MLOps Expert
At Altea Healthcare, we're revolutionizing outpatient/post-acute care delivery with cutting-edge AI solutions. We're seeking an experienced Senior Machine Learning Engineer to drive our MLOps strategy. The ideal candidate will have a strong background in deploying scalable ML models, including predictive/classification and NLP/NLU models.
Key Responsibilities:
- Design, implement, and deploy AI/ML product features to improve care delivery and quality for post-acute patients
- Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code
- Develop and deploy production-ready ML models with a focus on scalability and monitoring
- 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
- Refine ML-driven applications through quick iteration cycles
- Maintain best practices of MLOps within the healthcare industry
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
What We Offer:
- Competitive pay and benefits
- Extremely valuable startup stock options
- Full-time hybrid position in Houston
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
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