| Job Location | Qatar |
| Education | Post Graduate; Engineering Graduates/PG |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
Knowledge of ML Ops tools and techniques for version control, continuous integration, and deployment of AI models.Strong understanding of distributed computing and cloud infrastructure.Experience with reinforcement learning or advanced machine learning techniques.Strong understanding of machine learning algorithms, deep learning architectures, and model optimization techniques.Proven ability to build, test, deploy, and maintain AI models at scale, ensuring they meet both technical and business requirements.Excellent collaboration skills to work closely with Data Scientists, Business Analysts, and the wider technology team.Demonstrated ability to diagnose and resolve issues in machine learning models and production pipelines.Experience with data wrangling, preprocessing, and feature engineering techniques.Qualifications:Bachelors degree in computer science, Engineering, or related field (Masters degree in AI, Machine Learning, or Data Science preferred).5+ years of experience in AI or machine learning engineering roles, including hands-on experience with developing and deploying machine learning models.Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.Experience with cloud-based AI platforms (e.g., AWS, Google Cloud, Azure AI).Familiarity with data engineering processes and data pipeline development.You will be redirected to the company website to apply for this position
Keyskills :
developing and deploying machine learning models Python and machine learning
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