Software Engineer Machine Learning (Remote)

Job description / Role

Job Description
– 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 with 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 can 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 various 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 experience with other languages like Java, javascript, and R are highly desirable.
– Deep understanding with applied experience of OOP concepts, writing modularized code, and common design patterns.
– Previous background in developing applications using Python frameworks like Django is a must.- 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, and Airflow is preferred.
– Experience with data visualization tools like Plotly Dash, PowerBI, Tableau, etc.
– Proficiency in using query languages such as SQL and 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 various 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.

Education
– Bachelor’s degree in Computer Science, Software Engineering, or a related field.

About the Company

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 and gas, hospitality and real estate among 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.