Hybrid Senior ML Back-end Engineer

at mylo

• Job title: Senior ML Back-end Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, Scikit-Learn, SQL
• Location requirements: Hybrid, Cairo, Egypt

About the role

• Junior Data Scientist focused on end-to-end modeling and engineering integration within consumer finance. Collaborating across data operations while contributing to a modern MLOps stack in a hybrid environment.

Responsibilities

• End-to-End Modeling: Assist in training and tuning models for various business domains using modern Python libraries.
• Engineering Integration: Work with the team to expose models via APIs. You will learn to implement Feature Store definitions and ensure data quality for real-time serving.
• Data Operations: Handle data preparation and analysis using SQL and Python. Learn to manage datasets using Data Version Control tools to keep track of changes.
• Code Quality: Write clean, modular, and tested code. You will participate in code reviews and use version control (Git) as part of your daily workflow.
• Continuous Learning: Participate in our induction program to master our specific tools for model serving, package management, and system monitoring.

Requirements

• Education: B.Sc. in Computer Science / Engineering, Statistics, Mathematics, or a relevant quantitative field.
• Technical ML Foundation:
• Algorithms: Solid conceptual and practical understanding of Classification (Logistic Regression, Decision Trees, Random Forests) and Regression analysis.
• Deep Learning: Basic understanding of Neural Networks architectures and principles (e.g., activation functions, loss functions, backpropagation).
• Libraries: Hands-on familiarity with Scikit-Learn for preprocessing, model selection, and pipelines.
• Optimization: Exposure to hyperparameter tuning concepts and gradient boosting frameworks (e.g., LightGBM or XGBoost).
• Software Engineering Fundamentals:
• Version Control: Strong familiarity with Git commands (branching, merging, resolving conflicts) and collaboration platforms (GitHub/GitLab).
• Code Quality: Ability to write clean, reusable, and readable code (not just scripts). Understanding of functions, modularity, and basic testing.
• Core Skills: Strong grasp of Python programming and SQL.
• Analytical Foundation: Solid understanding of statistics and standard data manipulation libraries (Pandas, NumPy).

Benefits

• Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.
• Flexibility: You know best whether you want to work from home or in the office.
• Equipment: From "Day 1" you will receive all the equipment you need be successful at work.