Senior Machine Learning Engineer
Core
End-to-end development and deployment of Large Language Models (LLMs) and machine learning models using large-scale healthcare datasets to solve clinical or operational problems.
Role type
Senior Machine Learning Engineer (LLM & Healthcare AI)
Builds
Production ML models and scalable data/ML pipelines for healthcare applications
Domain
Healthcare + Large Language Models / Deep Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, data preprocessing, feature engineering, model training, fine-tuning, hyperparameter optimization, distributed training, GPU/TPU optimization, MLOps
Preferred skills
Experience with healthcare data, cloud platforms (GCP, AWS), Spark, multi-modal model integration
Technologies
PyTorch, TensorFlow, DeepSpeed, Ray, Hugging Face Accelerate, Spark, GCP, AWS
Responsibilities
Clean and transform large healthcare datasets for model development; Design, train, and fine-tune LLMs on custom healthcare data; Evaluate model performance and implement optimization strategies; Develop and maintain robust data and ML pipelines; Integrate models into production systems with cross-functional teams; Document models, pipelines, and experimental results
Seniority
Senior, hands-on IC