Machine Learning Engineer
Edentech -
Dokki, GizaPosted 1 year ago127Applicants for1 open position
- 23Viewed
- 9In Consideration
- 5Not Selected
Job Details
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Job Description
- Designing, developing, and researching Machine Learning systems, models, and schemes
- Studying, transforming, and converting data science prototypes
- Research and implement appropriate ML algorithms and tools
- Performing statistical analysis and using results to improve models.
- Identifying differences in data distribution that could affect model performance in real-world situations
- Analyzing the use cases of ML algorithms and ranking them by their success probability
- Understanding when your findings can be applied to business decisions
- Verifying data quality and/or ensuring it via data cleaning.
- Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
- Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming
- Produce project outcomes and isolate the issues that need to be resolved, in order to make programs more effective
- Collaborate with data engineers to build data and model pipelines
- Manage the infrastructure and data pipelines needed to bring code to production
- Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
- Use data modelling and evaluation strategy to find patterns and predict unseen instances
- Apply machine learning algorithms and libraries
- Communicate and explain complex processes to people who are not programming experts
- Analyse large, complex datasets to extract insights and decide on the appropriate technique
- Research and implement best practices to improve the existing machine learning infrastructure
Job Requirements
- Education: computer engineering or computer science
Skills:
- Advanced proficiency with Python and Java code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- Familiarity with machine learning frameworks PyTorch and libraries (like scikit-learn)
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Knowledge in SQL and NoSQL databases
