ML Engineer

Posted about 2 months agoViewed

💎 Seniority level: Middle, 3+ years

📍 Location: United States

🔍 Industry: Medical Imaging, AI/ML

🏢 Company: HOPPR👥 11-50 Artificial Intelligence (AI)Medical Information Technology Health Care Health Diagnostics Software

🗣️ Languages: English

⏳ 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

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