AI/ML Model Deployment Engineer

What role you will play in team: Ensure seamless deployment and maintenance of machine learning models in production environments.

What you will do: Work closely with data scientists to deploy, monitor, and optimize machine learning models.

Key responsibility:

• Develop and maintain CI/CD pipelines for model deployment.
• Monitor model performance and identify areas for improvement.
• Troubleshoot and resolve deployment issues.
• Collaborate with data scientists and engineers to improve model scalability and efficiency.
• Implement monitoring and alerting systems for model performance.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Strong experience with cloud platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines.
• Experience with model monitoring and logging tools.

Benefits Included:

• Competitive salary and benefits package.
• Work with cutting edge AI technologies.
• Opportunities for professional development and growth.
• Collaborative and supportive team environment.

A Day in the Life: A typical day involves working with DevOps engineers, setting up and automating deployment pipelines, and monitoring model performance in production.