MLOPS Remote /India/

Job Brief

## Job Description: MLOps Engineer

• *Position:** MLOps Engineer
• *Experience:** Minimum 2 years in a relevant field

### Responsibilities

• Deploy machine learning models into production environments efficiently and effectively.
• Utilize automation and orchestration tools to manage and streamline ML workflows.
• Implement monitoring solutions to track model performance real-time and ensure optimal functionality.
• Enforce scalability in machine learning systems to handle diverse and fluctuating workloads reliably.
• Collaborate closely with data scientists, developers, and operations teams for a seamless integration of ML solutions.
• Contribute to the optimization, maintenance, and enhancement of ML operations and processes.

### Requirements

• Proven experience in deploying machine learning models effectively in production environments.
• Proficiency in automation and orchestration tools for managing ML workflows.
• Strong understanding and implementation of model monitoring solutions for real-time performance tracking.
• Ability to ensure scalability of machine learning systems to handle varying workloads efficiently.
• Excellent collaboration skills to work with cross-functional teams effectively.

If you meet the above requirements and are passionate about the intersection of machine learning and operations, we encourage you to apply and be a key part of our dynamic team.

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