MLOps Engineer

4 weeks ago

Hyderabad, India Cirruslabs Full time

Job Description

Job Description:

- Design, implement, and maintain scalable and reliable MLOps pipelines.
- Develop and deploy machine learning models using Python.
- Manage containerized applications using Kubernetes.
- Implement and manage CI/CD pipelines to automate the deployment process.
- Collaborate with data scientists and software engineers to integrate machine learning models into production environments.
- Utilize GitHub for version control and collaboration on code repositories.
- Leverage Argo for workflow automation and orchestration.
- Monitor and optimize the performance of deployed models and infrastructure.
- Troubleshoot and resolve issues related to model deployment and infrastructure.
- Stay up-to-date with the latest trends and best practices in MLOps and machine learning.

Required Qualifications:

- Bachelors degree in Computer Science, Engineering, or a related field.
- Proven experience as an MLOps Engineer or in a similar role.
- Proficiency in Python programming.
- Hands-on experience with Kubernetes for container orchestration.
- Strong understanding of code deployment and CI/CD processes.
- Experience with GitHub for version control.
- Familiarity with Argo for workflow automation.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.

Preferred Qualifications:

- Masters degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Experience with monitoring tools and practices for machine learning models.
- Understanding of data engineering and data pipeline concepts.,

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