Senior Machine Learning Engineer

6 days ago


Houston, Texas, United States Altea Healthcare Full time
Senior Machine Learning Engineer

Altea Healthcare is a leading healthcare organization dedicated to revolutionizing outpatient and post-acute care delivery. We are seeking an experienced Machine Learning Engineer to contribute to our AI team.

Key Responsibilities:

  • Design, implement, and deploy scalable ML models for predictive/classification and NLP/NLU applications.
  • Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code.
  • Set up and maintain end-to-end pipelines for data ingress, egress, model inference, and model retraining.
  • Develop high-performance deployment architectures and model monitoring systems.
  • Refine ML-driven applications through quick iteration cycles and incorporate feedback from cross-functional teams.
  • 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 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.

What We Offer:

  • Competitive pay and benefits.
  • Extremely valuable startup stock options.
  • Full-time schedule.
  • Hybrid work location in Houston.

Benefits:

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


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