MLOps Engineer
Posted Updated
Summary
Based in Bangalore, this MLOps Engineer builds and maintains pipelines for deploying machine learning models to production using Vertex AI and Google Cloud, with Python, CI/CD best practices, and ongoing monitoring of model reliability, scalability, and performance.
We are seeking an experienced MLOps Engineer to join our dynamic team in Karnataka. The ideal candidate will have a strong background in machine learning operations, particularly with Vertex AI and Google Cloud technologies. As an MLOps Engineer, you will play a crucial role in deploying and managing machine learning models in production environments, ensuring their reliability and scalability.
Key Responsibilities:
- Collaborate with data scientists and software engineers to design and implement MLOps pipelines that facilitate the deployment of machine learning models.
- Utilize Vertex AI and Google Cloud services to streamline the model training and deployment processes.
- Monitor and maintain the performance of machine learning models in production, making necessary adjustments to optimize their effectiveness.
- Implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) in machine learning workflows.
- Stay updated with the latest advancements in MLOps, generative AI, and related technologies to continuously improve our processes.
Required Skills:
- Proficiency in Python programming and experience with machine learning frameworks.
- Strong understanding of MLOps principles and practices.
- Familiarity with generative AI concepts and technologies.
- Experience with cloud platforms, particularly Google Cloud and Vertex AI.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
If you are passionate about leveraging machine learning to drive business outcomes and have the required skills and experience, we encourage you to apply for this exciting opportunity.