ML Engineer
Company:HOPPR
Location:United States
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
AWSDockerPythonSQLGCPKubernetesMachine LearningPyTorchAzurePandasTensorflow
Requirements:
Master’s or PhD in Computer Science, Engineering, or a related field 3+ years' experience in relevant roles Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow Strong understanding of MLOps practices Experience with cloud platforms (e.g., AWS, GCP, Azure) Knowledge of data engineering principles
Responsibilities:
Develop, deploy, and maintain state-of-the-art machine learning models Design and implement robust ML pipelines and shared infrastructure Collaborate with researchers to translate algorithms into production-ready solutions Build and maintain MLOps tools and practices Optimize model performance in production environments Partner with clinicians and product teams
