UAE
Senior MLOps Engineer: Scalable AI Infra & Deployment
GCS Recruitment Specialists
- Industry Type
- Accounting, Auditing
- Functional Area
- IT Industry Accounting, Auditing
- Nationality
- Any
- Keywords
- Machine Learning Operations MLOps Infrastructure Design Model Deployment Scalable Pipelines Inference Serving Model Evaluation Continuous Deplo
Job Description
GCS Recruitment Specialists in Abu Dhabi, UAE, is looking for a Senior MLOps Engineer to develop and manage infrastructure for training, deploying, and maintaining machine learning models. The role involves designing scalable pipelines for inference serving, model evaluation, and continuous deployment.
- Position
- Senior MLOps Engineer: Scalable AI Infra & Deployment
- Company
- GCS Recruitment Specialists
- Location
- Abu Dhabi, UAE
- Industry
- Accounting, Auditing
- Experience
- 1 to 20 years
Responsibilities
- Lead the development and management of infrastructure for training, deploying, and maintaining Machine Learning models in production.
- Design scalable pipelines for inference serving, model evaluation, and continuous deployment.
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About the role: Senior MLOps Engineer: Scalable AI Infra & Deployment
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Senior MLOps Engineers focus on designing, building, and maintaining scalable machine learning infrastructure and deployment systems. They typically work in technology-driven environments such as accounting and auditing firms that use AI to enhance data analysis and decision-making processes.
What this role usually involves
- Develop and manage machine learning pipelines for model training and deployment.
- Ensure scalable and reliable AI infrastructure to support business applications.
- Collaborate with data scientists and software engineers to integrate models into production.
- Monitor and optimize model performance and system health.
- Implement automation for continuous integration and delivery of AI solutions.
- Maintain documentation and best practices for MLOps processes.
Skills employers usually look for
- Strong knowledge of machine learning frameworks and tools.
- Experience with cloud platforms and containerization technologies.
- Proficiency in programming languages such as Python or Java.
- Understanding of DevOps principles and CI/CD pipelines.
- Ability to troubleshoot and optimize AI infrastructure.
- Good communication and teamwork skills.
Usual qualifications
- A degree in computer science, engineering, or a related field is usually expected.
- Experience or training in machine learning and software development.
- Familiarity with cloud computing and DevOps practices.
- Certifications in relevant technologies can be beneficial.
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