Machine Learning Engineer
نُشرت في :
25-04-2024
صاحب العمل نشط
1 وظيفة شاغرة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
الوصف الوظيفي
رقم الوظيفة : 2423758
-
About the job
We are looking for a graph machine learning engineer. In this role, you will get to work alongside various experts in product and engineering.
Example Responsibilities:
- Devise and construct cutting-edge graph-based machine learning models and algorithms aimed at detecting and mitigating fraudulent activities within intricate, interlinked datasets.
- Implement and enhance graph-based algorithms dedicated to node classification, link prediction, and community detection, specifically tailored to identify patterns indicative of fraudulent behavior.
- Work collaboratively with cross-functional teams to integrate machine learning models into scalable and efficient production systems.
- Conduct thorough analyses and experiments to evaluate model performance, scalability, and efficiency on graph-based data structures.
- Research and remain abreast of the latest advancements in graph-based machine learning techniques, contributing groundbreaking concepts to augment our fraud detection technological capabilities.
- Skills and Experience:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
- Demonstrated proficiency (3 years) in crafting and deploying machine learning models tailored explicitly for detecting fraud within graph-based data structures.
- Strong proficiency in graph theory, graph algorithms, and graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph).
- Proficient in programming languages commonly used in machine learning (e.g., Python, R, Java) and libraries/frameworks (e.g., NetworkX, PyTorch Geometric, GraphSAGE).
- Hands-on experience in data preprocessing, feature engineering, and model assessment within the domain of graph-based machine learning specifically oriented towards detecting fraudulent activities.
- Great to have Experience and Qualifications:
- Solid understanding of graph embedding techniques, graph neural networks, and their applications in solving real-world problems.
- PhD in Computer Science or a related field with a focus on graph-based machine learning.
- Familiarity with distributed computing frameworks (e.g., Apache Spark) for scalable graph processing.
- Experience working with large-scale graph datasets and optimizing performance for computational efficiency.
- Contributions to open-source projects related to graph-based machine
نوع التوظيف
دوام كامل
المجال
القسم / المجال المهني
تطوير البرمجيات / تطوير التطبيقات (برامج تكنولوجيا المعلومات)
المهارات المطلوبة
الإبلاغ عن هذه الوظيفة
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا
