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Job Description
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s / customers’ data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic
- systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Prepares / Reviews low-level design.
- Develops / reviews software application code making sure of conformance of coding standards and
- architecture principles.
- Preparing unit test cases and writing unit test code.
- 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 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 understanding of machine learning and deep learning techniques, such as Naive Bayes, SVM,
Random Forests, CNNs, RNNs, GANs, Attention Models, etc.
· Excellent Coding Skills in Python is required and other coding knowledge and experience with other
languages like Java, and R is highly desirable.
· Excellence at using common python data science packages like Scikit-Learn / NumPy / SciPy/ Matplotlib
/ Plotly.
· Design and build Machine Learning and Deep Learning pipelines to solve business problems.
· Experience with data visualization tools, such as Plotly Dash, Tableau, PowerBI etc.
· Experience in using query languages such as SQL.
· Good applied statistical skills, such as distributions, statistical testing, regression, etc.
· Proven hands-on experience in dealing with a variety of machine learning tasks and data types
including tabular, time-series, image, and sequential data.
· Python
· Apache Spark ML
· SQL
· NoSQL
· Deep Learning
· Machine Learning
· Classification
· Regression
· Clustering
· Forecasting
Education
Bachelor’s degree or equivalent experience. Preferred Computer science or engineering.
Job Details
Preferred Candidate
About This 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 & 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.