AI/ML Model Deployment Engineer

What role you will play in team: You will be responsible for deploying and maintaining machine learning models in production environments.

What you will do: Ensure the smooth and efficient operation of machine learning models in production.

Key responsibility:

• Deploy machine learning models into production environments.
• Monitor the performance of deployed models.
• Troubleshoot and resolve issues with deployed models.
• Maintain and update deployed models.
• Develop and implement monitoring and alerting systems.
• Collaborate with data scientists and engineers to improve model deployment processes.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science or a related field.
• Experience in deploying machine learning models into production environments.
• Familiarity with cloud computing platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Strong scripting skills (Python, Bash).

Benefits Included:

• Competitive salary and benefits.
• Opportunity to work on cutting-edge technology.
• Collaborative and supportive work environment.
• Chance to make a significant impact on the company's success.

A Day in the Life: A day will involve deploying models, monitoring performance, troubleshooting issues, and collaborating with the data science team for continuous improvement.