Machine Learning Intern

• 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.

Requirements

• 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.

Benefits

🏢 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.