Machine Learning Engineer

1 week ago


Sharjah, United Arab Emirates Info Resume Edge Full time

We are looking for a skilled and innovative Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing and deploying machine learning models and data‑driven solutions that improve business outcomes. You will work closely with data scientists, software engineers and product teams to turn data into actionable intelligence. Key Responsibilities Design and implement machine learning algorithms and models for various applications. Preprocess, clean and analyze large datasets from diverse sources. Collaborate with cross‑functional teams to define project requirements and success metrics. Train, test and evaluate model performance using industry‑standard metrics. Optimize models for scalability and real‑time deployment. Deploy models into production using tools such as Docker, Kubernetes or cloud services (AWS, Azure, GCP). Monitor and maintain deployed models for accuracy and performance. Document code, models and processes for future reference. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field. Proven experience with Python and libraries such as TensorFlow, PyTorch, Scikit‑learn, etc. Strong understanding of machine learning algorithms, data structures and software engineering principles. Experience with SQL and NoSQL databases. Familiarity with cloud platforms and MLOps practices. Excellent problem‑solving and analytical skills. Strong communication and teamwork abilities. Preferred Qualifications Ph.D. in a related field. Experience in deep learning, NLP, computer vision or recommendation systems. Experience with tools such as MLflow, Airflow or Kubeflow. Contributions to open‑source ML projects or published research papers. #J-18808-Ljbffr



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