AI/ML Model Deployment Engineer

What role you will play in team: You will be a key member of our team responsible for deploying and maintaining our AI/ML models in production environments.

What you will do: You'll work on optimizing models for performance and scalability, monitoring their performance, and troubleshooting issues.

Key responsibility:

• Deploy and maintain AI/ML models in production environments (cloud and on-premise).
• Optimize models for performance and scalability.
• Monitor model performance and identify areas for improvement.
• Troubleshoot and resolve issues related to model deployment and performance.
  
• Collaborate with data scientists and engineers to ensure smooth model deployment.
• Develop and maintain deployment pipelines and infrastructure.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience in deploying and maintaining AI/ML models.
• Experience with containerization technologies (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP).

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  Strong understanding of DevOps principles.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for learning and growth within a rapidly evolving field.
• Collaborative and supportive team environment.
• Hybrid work option.

A Day in the Life: A typical day will involve monitoring model performance, resolving deployment issues, optimizing infrastructure, and collaborating with the data science team.