AI/ML Engineer
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| Company Name | Quik Hire Staffing |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | United Arab Emirates |
| Qualifications | Bachelor’s Degree |
| Experience | 2 Year+ |
Quik Hire Staffing is seeking an AI/ML Engineer to work on a Full-Time basis. The role involves developing and deploying machine learning models to solve complex business problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems. This is a remote position, allowing you to work from anywhere.
Looking for a AI/ML Engineer at Quik Hire Staffing in United Arab Emirates? This role focuses on the day-to-day work of a AI/ML Engineer.
– Role: AI/ML Engineer (Remote) – Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking an AI/ML Engineer to work on a Full-Time basis. The role involves developing and deploying machine learning models to solve complex business proble
Company Overview
Quik Hire Staffing Solutions is dedicated to helping businesses hire smarter, faster, and more efficiently. We specialize in providing high-quality staffing and recruitment solutions tailored to the unique needs of each organization. We combine industry expertise, modern recruitment tools, and a people-first approach to ensure every match is the right fit.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Experience: 2 Year+
- Qualifications: Bachelors Degree
Key Responsibilities
- Design, develop, and optimize machine learning models using Python and relevant frameworks.
- Preprocess, clean, and transform large datasets to prepare them for model training.
- Deploy and monitor machine learning models in production environments.
- Collaborate with software engineers to integrate AI solutions into existing infrastructure.
- Conduct performance benchmarking and model validation to ensure accuracy and efficiency.
Requirements
- Proficiency in Python with experience in machine learning libraries such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.
- Familiarity with MLOps practices, including CI/CD pipelines for machine learning.
- Strong problem-solving skills with the ability to translate business requirements into technical solutions.
Benefits
- Opportunity to work with a global leader in the Software Development industry.
- Contribute to the development of scalable AI solutions for enterprise applications.
- Exposure to cutting-edge technologies.
- Chance to impact high-impact projects.
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