Software Engineer II - MLOps @ Careem
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Job Details
About the Company
Careem is building the Everything App for the greater Middle East, making it easier to move around, order food and groceries, manage payments, and more. Since 2012, Careem has empowered over 2.5 million Captains and simplified the lives of over 70 million customers across 70 cities in 10 countries.
About The Team
The Next Generation of ML Ops Engineers at Careem will learn to write Clean Code using SOLID principles while designing reliable systems. This programme spans Cyber Security, Data, Machine Learning, Infrastructure, and multiple Software Engineering tracks such as Backend, Frontend, and Mobile.
Role Overview
As a Software Engineer II - MLOps, you will work with a senior team of talented data scientists on end-to-end development of data science projects from idea to production. You will accelerate your professional growth while building and deploying ML algorithms.
What You Will Need
- 2-4 years of relevant experience
- Strong knowledge of statistics, probability theory, calculus, linear algebra, and differential calculus
- Expertise in Python programming language and SQL with algorithms and data structures
- Understanding of Machine Learning algorithms and theory
- Fluency in English with excellent verbal and written communication
Bonus Skills
- Hands-on experience with ML algorithm development and deployment
- Portfolio of ML projects showcased on GitHub
What We Provide
- Opportunity to work with inspiring minds and drive regional impact
- Hybrid work arrangement: 4 days in office and 1 remote day; plus 30 days remote worldwide annually for full time contributors
- Access to healthcare benefits and fitness reimbursements
- Unlimited vacation days and flexible working environment
Key skills/competency
- Python
- SQL
- ML Algorithms
- Data Structures
- Statistics
- Clean Code
- Deployment
- SOLID Principles
- Data Science
- Communication
How to Get Hired at Careem
🎯 Tips for Getting Hired
- Research Careem's culture: Explore their mission, values, and employee testimonials online.
- Customize your resume: Highlight ML and Python expertise relevant to the role.
- Prepare for technical rounds: Revise data structures, algorithms, and ML theory.
- Showcase projects: Use your GitHub portfolio as evidence of experience.