Machine Learning Engineer (Risk)
Bengaluru, Karnataka, India
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 3000000 - Rs 6000000 (ie INR 30-60 LPA)
Min Experience: 5 years
Location: Bengaluru
JobType: full-timeWe are looking for a Machine Learning Engineer (Risk) to develop and implement cutting-edge machine learning solutions for complex risk-related challenges. You will analyze large datasets, detect patterns, and build scalable models to enhance fraud detection and risk assessment. This role requires a deep understanding of the machine learning lifecycle, including algorithms, data structures, and system design.
Requirements
Key Responsibilities
🔹 Develop & Optimize ML Models
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Credit risk E-commerce Engineering Machine Learning ML models MySQL NoSQL Python R&D Research
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.