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mylo

Machine Learning Intern

mylo · New Cairo City, Cairo, Egypt

Financial Services · 201-500 employees

2 d ago
Remote Junior (0-2 yrs) Temporary Egypt
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About the role

Assist in designing, training, and fine-tuning machine learning models while maintaining data pipelines for high-quality inputs. Conduct performance evaluations and collaborate with engineering teams to integrate prototypes into production.

What they look for

Python Pandas NumPy Scikit-Learn PyTorch TensorFlow SQL Machine Learning Statistics Linear Algebra Back-end Development Full-stack Development Git AWS GCP Azure

Requirements

Candidates should be pursuing a degree in Computer Science, Data Science, or a related quantitative field with proficiency in Python and SQL. A strong foundation in statistics, linear algebra, and ML algorithms is required.

Benefits

Creative Workspaces Well-equipped Kitchen Mentorship from Experienced Professionals

Full description

  • Model Development: Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks.
  • Data Pipeline Maintenance: Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models.
  • Performance Evaluation: Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics.
  • Research & Implementation: Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems.
  • Collaborative Deployment: Work with the engineering team to integrate model prototypes into our production environment.
  • Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Technical Toolkit: Proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow). Back-end or full-stack knowledge.
  • Statistical Foundation: A solid understanding of machine learning algorithms, statistics, and linear algebra.
  • Data Fluent: Comfortable working with SQL to query and manipulate large datasets.
  • Curious & Persistent: You love debugging complex issues and are comfortable with the iterative nature of ML model building.

Nice to have • Experience with cloud platforms (AWS, GCP, or Azure) and machine learning services (e.g., SageMaker, Vertex AI).

  • Exposure to LLM and GenAI.
  • Previous experience or passion projects in the fintech space (e.g., building a sentiment analysis tool for markets, or a personal expense classifier).
  • Familiarity with version control systems like Git.

🏢 Inspiring Office Environment When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.

👩‍💻 Learn from the Best You’ll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.

🚀 Real Impact This isn’t a “watch-and-learn” kind of internship. You’ll be working on real projects, solving actual problems, and making a difference — from day one.