Machine Learning Engineer

4 days ago


مصر, Egypt Tribal Credit Full time

**Overview**

Are you ready to join an agile, diverse, and global team of innovators in redefining the B2B payment space for startups and SMEs in emerging markets? Tribal Credit is built for companies looking for a better way to pay business expenses and optimize their financial management. We provide modern payment methods like multi-currency physical and virtual business Visa cards and a powerful spend management platform to track and control expenses—all in one seamless interface.

Our founders are serial entrepreneurs who have launched startups both in emerging markets and the U.S. We're backed by leading international investors, including SoftBank, QED Investors, BECO Capital, Global Ventures, Endeavor Catalyst, Endure Capital, and OTG Ventures. We're also part of the Visa Fintech Fast Track program among an elite group of fintechs.

This position is 100% remote, based in Egypt, and will report to the Sr. Data Scientist.

**As a Machine Learning Engineer you will...**
- Understand DevOps and maintain machine learning models within the Data Science team and develop different production streams for them
- Build APIs and web interfaces to better utilize Machine Learning (ML) models and internal tools
- Research new trends in ML production/deployment technologies and build Proof of Concepts (PoC) that can potentially be the foundation of a new data science product or improving a current one
- Optimize our current processes and propose improvements
- Partner with other Data Scientists and Engineers to build complex products and solutions

**Who You Are**
- 3+ years of experience in developing software using Python, building custom modules and packages using Object Oriented programming
- Strong Experienced with Docker and Kubernetes
- Familiar with Data Science concepts and algorithms including Supervised and Unsupervised Learning
- Strong understanding of Git and CI/CD
- Strong experience in deploying ML models in the cloud (e.g. AWS and GCP)
- Experienced with AWS and services like EC2, ECR, EKS, Fargate, and Sagemaker
- Experience with infrastructure as code (Cloudformation and Terraform)
- Strong quantitative analysis skills and a data driven approach to problem solving
- Fluent in English required
- Agile, flexible, and responsive approach to work.
- Enthusiastic, positive, friendly and a great sense of humor

**Benefits**
- 100% employer paid healthcare insurance for employee
- Headspace subscription.
- Highly supportive team culture.
- Hybrid working model, flexible work environment.
- Market-competitive salaries.
- Top-notch project management, productivity, and team engagement tools.
- Unlimited learning resources, and much more.

**Our Values**
- **Passionate about creating value**: We experiment with new possibilities, to effect positive change for the world around us.
- **Devoted to high standards**: We don't merely do the work, we strive for excellence, precision, and mastery at what we do.
- **Proactively learning and growing**: We're curious and passionate about learning and growing.
- **Human-centered**:We put people's welfare at the center of everything we do.
- **Candid, open, connected**: We work in perfect sync powered by open, continuous communication and feedback.

**Equal Employment Opportunity & Privacy Statement**

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