MLOps Engineer

MLOps Engineer

Job Title: MLOps Engineer Location: Remote, UAE Job Type: Full-Time Experience Required: 4 to 7 years Eligibility: Male/Female both can apply

Role Description

We are seeking an MLOps Engineer to support the deployment, monitoring, automation, and lifecycle management of machine learning systems in production environments. This role bridges machine learning and operations, ensuring that models move from experimentation to dependable real-world use. You will work with data scientists, machine learning engineers, platform teams, and product stakeholders to improve reproducibility, model delivery, observability, and reliability. This role is ideal for someone who understands both ML workflows and operational discipline and can help build mature AI delivery practices.

Key Responsibilities

Support deployment and lifecycle management of ML systems

Build automation for training, validation, and release workflows

Improve monitoring and reliability of production models

Work with data and engineering teams on ML operations

Support infrastructure and environment consistency for ML workloads

Troubleshoot model delivery and runtime issues

Maintain operational documentation and standards

Required Skills

MLOps

Machine learning deployment

Automation

Monitoring

Environment management

Troubleshooting

Documentation

Collaboration

Originally posted on Himalayas