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Machine Learning (AI) Engineer (Hybrid)
Quik Hire Staffing
Abu Dhabi, UAE
Full-time
Entry
Hybrid
$200,000-$500,000 per year
Discovered 3 weeks ago
PythonTensorFlowPyTorchMachine learning model developmentData pipelinesMLOps
Free
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Role Overview
Machine Learning Engineer role supporting a client and developing AI capabilities for core product features.
Develop and deploy machine learning models that enhance user experience and operational efficiency.
Collaborate with cross-functional teams to design scalable AI solutions.
Key Skills for This Role
PythonTensorFlowPyTorchMachine learning model developmentData pipelinesMLOps
Full Job Posting
Role Overview
Machine Learning Engineer role supporting a client and developing AI capabilities for core product features.
Develop and deploy machine learning models that enhance user experience and operational efficiency.
Collaborate with cross-functional teams to design scalable AI solutions.
Key Responsibilities
- Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch.
- Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.
- Implement MLOps practices for model deployment, monitoring, and version control.
- Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
- Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.
Required Skills and Qualifications
- Proficiency in Python, TensorFlow, and PyTorch.
- Experience with MLflow, Kubeflow, or SageMaker.
- Strong background in data preprocessing, feature engineering, and model evaluation metrics.
- Familiarity with AWS, GCP, or Azure.
- Knowledge of Git and CI/CD pipelines.
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