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Machine Learning Algorithm Developer

1 week ago

Bengaluru, Karnataka, India Weekday AI Full time
Weekday AI: Enhancing Risk Assessment with Machine Learning

We are seeking a highly skilled Machine Learning Engineer (Risk) to join our team at Weekday AI. As a key member of our engineering team, you will be responsible for developing and implementing cutting-edge machine learning solutions for complex risk-related challenges.

About the Role

You will work closely with our data and risk teams to build scalable solutions that meet the needs of our clients. Your expertise in machine learning will enable us to enhance fraud detection and risk assessment, ultimately driving business growth and success.

Key Responsibilities

- Design, develop, and implement machine learning algorithms to solve risk-related challenges.
- Leverage data-driven insights to enhance fraud detection and risk assessment capabilities.

Data Processing & Analysis

- Identify and apply appropriate techniques to process and analyze large datasets (both labeled and unlabeled).
- Extract valuable insights to improve risk models and decision-making.

System Enhancement & Performance Tuning

- Conduct performance analysis, scaling, tuning, and optimization of ML models.
- Review and enhance software and system architecture for stability and efficiency.

Cross-Functional Collaboration

- Provide technical support across different areas of the system, beyond just ML applications.
- Work closely with engineering, data, and risk teams to build scalable solutions.

Research & Development

- Explore and implement innovative approaches in fraud detection and risk modeling.
- Stay up to date with the latest advancements in machine learning, credit risk modeling, and fraud detection.

Requirements

- Bachelor's degree in Computer Science, Information Systems, or related fields with a specialization in Machine Learning.
- Strong foundation in databases (MySQL, NoSQL, Columnar databases) and data scaling techniques.
- Hands-on experience with Machine Learning algorithms and their real-world applications.
- Proficiency in programming languages such as Python, C++, and C.
- Mandatory experience in Credit Risk, Unsupervised Modeling, and Fraud Modeling.
- Experience in the e-payments or e-commerce industry is a plus.
- Excellent analytical, communication, and problem-solving skills.