Senior Engineer, AI & Machine Learning
Core
Develop and deploy production AI/ML models and workflows within the Palantir Foundry ecosystem to improve patient care for cardiovascular disease.
Role type
Senior Machine Learning Engineer (Medical Domain)
Builds
Scalable AI/ML models, data pipelines, and connected solutions for patient care
Domain
Healthcare / Medical Technology / Cardiovascular Disease
Deliverable
production ML models
Required skills
Python, Java, C++, TensorFlow, PyTorch, Scikit-learn, Keras, AWS, Git, Agile methodologies, Palantir Foundry, Palantir AIP, Agent Studio, RAG workflows, Ontology design, MLOps, Docker, Kubernetes, Apache Kafka, Airflow
Preferred skills
Deep learning (CNNs, RNNs, GANs), Foundry certifications (Data Engineer, Solution Architect, Application Developer), Big Data technologies (Hadoop, Spark)
Technologies
Palantir Foundry, Palantir AIP, Agent Studio, TensorFlow, PyTorch, Scikit-learn, Keras, AWS, MLflow, Kubeflow, Docker, Kubernetes, Apache Kafka, Airflow, Hadoop, Spark
Responsibilities
Develop and implement end-to-end AI/ML models and workflows within Palantir Foundry and AIP; Design, implement, and optimize advanced machine learning algorithms; Lead the development and deployment of scalable ML models in production; Build end-to-end data pipelines for large-scale datasets; Mentor junior engineers; Conduct research on open-source tools and ML techniques relevant to the medical domain
Seniority
Senior, hands-on IC
