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إنتهت صلاحية هذا الإعلان الوظيفي لقد إنتهت صلاحية هذا الإعلان الوظيفي و هو غير مفتوح حاليا لأي طلبات عمل.

إرفاق

Software Engineer - Machine Learning

Giza Systems القاهرة, مصر تم النشر 2023/01/10 14:26:13 الرقم المرجعي: JB4653951

وصف الوظيفة

  • ·Prepares and reviews low-level software designs.
  • Selecting features, building and optimizing pipelines using machine learning supervised and
  • unsupervised techniques
  • Develops / reviews software application code making sure of conformance of coding standards and
  • architecture principles.
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Preparing unit test cases and writing unit test code.
  • Writing automated build and execution scripts for software artifacts.
  • Writing automated deployment scripts for software artifacts.
  • Fixing software bugs reported by internal and external testing teams.
  • Fixing bugs in open-source software supported by the company and software products developed by
  • the company.
  • Accountable for providing high quality software products and service

Personal Skills

· Self-starter with a proactive attitude

· Excellent written and verbal communication skills for coordinating across teams.

· Individual contributor who is able to work effectively across different teams

· Excellent organizational, time management, and presentation skills.

· Ability to communicate effectively with peers, management, & business groups

Technical Skills

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial

neural networks, etc.) and their real-world advantages/drawbacks.

· Excellent Coding Skills in Python are required and other coding knowledge and experience with other

languages like Java, java script, and R are highly desirable.

· Deep understanding with applied experience of OOP concepts, writing modularized code and common

design patterns.

· Previous background of developing applications using Python frameworks like Django is preferred.

· Excellence at using common python data science packages like Scikit-Learn, NumPy, SciPy, Matplotlib,

and Plotly.

· Experience with Big Data tools like Spark, Kafka, NiFi, Airflow is preferred.

· Experience with data visualization tools, such as Plotly Dash, PowerBI, Tableau, etc.

· Proficiency in using query languages such as SQL, HiveQL.

· Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J

· Previous knowledge of container management (I.e., Docker) is preferred.

· Previous experience with cloud services like AWS, GCP, Azure, and Linux administration is preferred.

· Proven hands-on experience in dealing with a variety of software development and machine learning

tasks including different types of data like tabular, time-series, image, and sequential data.
· Python
· Django
· Apache Spark
· Apache NiFi
· SQL / NoSQL
· Unified Modeling Language (UML)
· Machine Learning
· Time-Series Data
· OOP
· Design Patterns

المؤهلات العلمية

Bachelor’s degree or equivalent experience. Preferred Computer science or engineering

تفاصيل الوظيفة

مكان الوظيفة القاهرة, مصر
قطاع الشركة System Integrator
طبيعة عمل الشركة صاحب عمل (القطاع الخاص)
الدور الوظيفي الهندسة
القسم COO Office
SW Engineering

المرشح المفضل

المستوى المهني مبتدئ الخبرة
عدد سنوات الخبرة الحد الأدنى: 0 الحد الأقصى: 2
الشهادة بكالوريوس

نبذة عن الشركة

Giza Systems

Integration القاهرة, مصر http://www.gizasystems.com

Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the Telecoms, Utilities, Oil & Gas, Transportation and other market sectors. We help our clients streamline their operations and businesses through our portfolio of solutions, managed services, and consultancy practice. Our team of 1000 professionals are spread throughout the region with anchor offices in Cairo, Riyadh, Dubai, Doha, Nairobi, Dar-es-Salaam, Abuja, Kampala and New Jersey, allowing us to service an ever-increasing client base in over 40 countries.

وظائف ذات صلة

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