Software Engineering Associate Advisor – HIH – Evernoth
Core
Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models in production environments, bridging the gap between data science and IT operations.
Role type
Senior MLOps Engineer (Machine Learning Operations)
Builds
Automated ML pipelines, model deployment frameworks, and monitoring systems for enterprise-wide analytical workflows.
Domain
Healthcare technology / Machine Learning Operations / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PySpark, Spark/Scala, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud, CI/CD automation, model monitoring, version control, Agile/Scrum
Preferred skills
Deep learning frameworks, solution architecting in cloud technology, operationalizing ML models
Technologies
Databricks, AWS, TensorFlow, PyTorch, Scikit-learn, PySpark, Spark ML
Responsibilities
Design and implement MLOps pipelines for continuous deployment; Automate training, testing, and deployment processes; Monitor and maintain models in production; Optimize pipelines for scalability and cost-effectiveness; Ensure compliance with security and data privacy standards; Provide guidance on MLOps practices.
Seniority
Senior, hands-on IC
