Machine Learning Engineer
Cairo, EgyptPosted 1 year ago154Applicants for1 open position
- 17Viewed
- 5In Consideration
- 0Not Selected
Job Details
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Job Description
- Introduction
- Company
- We are young and dynamic organization with startup culture seeking to help our clients take all the technical challenges away from them, letting them focus on their core business. We offer opportunity for Egyptian tech experts a chance to get exposure to international experience and cutting edge technologies
- Role
- As an AI Engineering you will be a strategic member of a team who evaluates processes and technologies and provides technology leadership to deliver production solutions to meet our goals and objectives. You will be responsible for delivering a working solution for areas across the organization. Further, this position liaises with third party technology providers and client IT application and infrastructure teams to ensure timely delivery of the solution with a high degree of quality.
- Company
- Responsibilities
- Collaboration with the Project Managers, business teams to ensure proper functional and performance requirements are met
- Develops, documents and tests software solutions
- Analyzes data to uncover trends/patterns
Job Requirements
- Required Qualifications:
- Bachelor’s degree in Engineering, Computer Science, or a related technical field.
- 3+ years of experience with hands-on experience with AI, Machine Learning and Deep Learning technologies
- 3+ years in Data Modelling, Data Mining (using one or more industry standard tools)
- 3+ years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git)
- Data visualization using Tableau, Power BI or other packages
- Ability to work on US based time zone
- Preferred Qualifications :
- Understanding of Cloud based services in one of the major cloud providers (AWS, Azure, GCP)
- Quickly able to understand Cloud or underlying platform API usage in existing application portfolio
- Experience to some of Python’s ML ecosystem (NumPy, Pandas, Scikit-Learn (sklearn), TensorFlow, etc.).
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Azure Service Bus, Events Hub, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, CosmosDB, Graph database)
- knowledge of Natural Language Processing, Computer Vision or IVR solutions
- Benefits
- Work from home flexibility
- Paid in US Dollars
- International experience