16 days ago
Bengaluru, India
Senior
Responsibilities
- Design, implement, and manage scalable machine learning pipelines using Azure ML and Databricks.
- Build and maintain automated CI/CD pipelines with GitHub and GitHub Action.
- Utilize Azure Kubernetes Service to containerize and deploy machine learning models.
- Develop reusable templates for various ML use cases to enhance operational efficiency.
- Design and manage APIs for interaction between ML models and applications.
- Perform model optimization and monitor data drift and refresh checks.
- Implement cost monitoring strategies for efficient resource use.
- Collaborate with data scientists, DevOps, and IT teams for model deployment.
- Provide documentation for ML workflows and optimization strategies.
Requirements
- Proficiency in Python/PySpark and statistical analysis tools like SAS/SPSS.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras.
- Strong understanding of hypothesis testing and regression techniques.
- Familiarity with Azure ML, Databricks, and CI/CD practices.
- Ability to design scalable solutions and manage APIs.
Tech Stack
DatabricksGitHub ActionsKerasPythonPyTorchRSassSonarQubeTensorFlow
Categories
AI & MLData ScienceDevOps