كلما زادت طلبات التقديم التي ترسلينها، زادت فرصك في الحصول على وظيفة!

إليك لمحة عن معدل نشاط الباحثات عن عمل خلال الشهر الماضي:

عدد الفرص التي تم تصفحها

عدد الطلبات التي تم تقديمها

استمري في التصفح والتقديم لزيادة فرصك في الحصول على وظيفة!

هل تبحثين عن جهات توظيف لها سجل مثبت في دعم وتمكين النساء؟

اضغطي هنا لاكتشاف الفرص المتاحة الآن!
نُقدّر رأيكِ

ندعوكِ للمشاركة في استطلاع مصمّم لمساعدة الباحثين على فهم أفضل الطرق لربط الباحثات عن عمل بالوظائف التي يبحثن عنها.

هل ترغبين في المشاركة؟

في حال تم اختياركِ، سنتواصل معكِ عبر البريد الإلكتروني لتزويدكِ بالتفاصيل والتعليمات الخاصة بالمشاركة.

ستحصلين على مبلغ 7 دولارات مقابل إجابتك على الاستطلاع.


https://bayt.page.link/A5LqHP77DV9QgbWVA
العودة إلى نتائج البحث‎
خدمات الدعم التجاري الأخرى
أنشئ تنبيهًا وظيفيًا لوظائف مشابهة
تم إيقاف هذا التنبيه الوظيفي. لن تصلك إشعارات لهذا البحث بعد الآن.

الوصف الوظيفي

Overview About Business Unit: As part of the Digital Integration Services team, you’ll be at the forefront of modernizing marketing and delivering ground-breaking solutions. From crafting data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals. Our team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft relevant, customer-centric strategies for the world’s leading brands. Organization Objective/Purpose: This position in the Engineering team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven software engineer. You will be part of a team that is focused on building solutions, pipelines using latest engineering design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines. The incumbent is also expected to partner with various partners, bring scientific rigor to design and develop high quality software. She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘startup’ environment within a larger company. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Brief Description of Role: You will play a key role as a Senior ML Engineer in designing and delivering AI-based analytical solutions to support and elevate analytics. The primary responsibilities of the Data Intelligence team within DX involve design and development of new AI-based automated analytics solutions, tools, and applications, which expands the capabilities of Epsilon’s analytics application platforms and significantly improve the productivity of our analytics teams by streamlining cost, reducing time and effort, and boost client satisfaction. You’ll collaborate closely with Analytics and Engineering teams, fostering multi-functional partnerships to drive impactful results. Qualifications Bachelor’s degree in data science, Computer science with 6+ years of similar experience Professional experience in developing & orchestrating AI-based tools and applications, data processing, report automation, and dashboard platforms. Tech Stack: Python, PySpark, PLSQL Hands-on experience in developing solutions using Large Language Models (LLMs – online & offline) Proficiency in distributed data platforms (such as Greenplum and Hadoop) and data intelligence tools (Databricks, Tableau), along with development skills in Python and SQL. Experience working on packages like tensorflow, keras & scikit-learn Understanding of ML & DL concepts Ability to create visually compelling, interactive dashboards. Experience working on AdTech or MarTech technologies is added advantage Good written and spoken communication skills, great teammate. Strong analytic thought process and ability to interpret findings Data Management Experience building Data and MLOps pipelines Familiarity with Airflow and MLFlow tools Experience with both structured and unstructured data Hands on experience building ETL workflows/ ML pipelines Experience in relational and non-relational databases and SQL (NoSQL is a plus). Experience with Cloud technologies (AWS or Azure, Databricks) Good understanding of Data Modeling, Data Warehouse, Data Catalog concepts and tools Experience with Data Lake architectures, and with combining structured and unstructured data into unified representations Able to identify, join, explore, and examine data from multiple disparate sources and formats Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc. Ability to manipulate large datasets, (millions of rows, thousands of variables) Architecture and Infrastructure Good knowledge of working in UNIX/LINUX systems In addition, the candidate should have strong business insight, and interpersonal and communication skills, yet also be able to work independently. He / she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.

لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.

لقد تجاوزت الحد الأقصى المسموح به للتنبيهات الوظيفية (15). يرجى حذف أحد التنبيهات الحالية لإضافة تنبيه جديد.
تم إنشاء تنبيه وظيفي لهذا البحث. ستصلك إشعارات فور الإعلان عن وظائف جديدة مطابقة.
هل أنت متأكد أنك تريد سحب طلب التقديم إلى هذه الوظيفة؟

لن يتم النظر في طلبك لهذة الوظيفة، وسيتم إزالته من البريد الوارد الخاص بصاحب العمل.