Software Engineer At Giza Systems
Prepares and reviews low-level software designs.
Selecting features, building and optimizing pipelines using machine learning supervised and
Develops / reviews software application code making sure of conformance of coding standards and
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
Accountable for providing high quality software products and service
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
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
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,
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.
SQL / NoSQL
Unified Modeling Language (UML)
Bachelor’s degree or equivalent experience. Preferred Computer science or engineering
Employer (Private Sector)
Years of Experience
Min: 0 Max: 2