Senior Machine Learning Engineer

Posted 23 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 180000 - 220000 USD per year

🔍 Industry: Healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 7 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonSQLKubernetesMachine LearningPyTorchData engineeringPandasCommunication SkillsCollaborationCI/CDTerraform

Requirements:

5+ years of experience in machine learning engineering or MLOps roles.
Strong proficiency in Python and SQL, experience in machine learning libraries like scikit-learn and PyTorch, and data manipulation tools such as pandas.
Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
Experience with cloud platforms (preferably AWS) and their machine learning services.
Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
Strong understanding of data engineering and architecture principles.
Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Responsibilities:

Develop, deploy, and maintain machine learning models and pipelines in production environments.
Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform.
Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
Optimize model performance and scalability, ensuring high reliability and efficiency.
Build tools to improve the lives of our data scientists.
Contribute to the design and architecture of our ML systems.

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Senior Machine Learning Engineer

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