Job Description:
Role: Machine Learning Engineer
Experience: 2-3 years
Salary: Up to 15 LPA
Timings: 11 AM to 8 PM
About the Company
Our client is a leading AI-driven fintech startup revolutionizing credit risk assessment and fraud detection in the lending industry. Leveraging advanced machine learning models, they provide real-time risk analysis, helping financial institutions make smarter lending decisions. With a rapidly growing user base and partnerships with top banks, the company is at the forefront of AI innovation in finance.
Job Description
- Develop and optimize machine learning models for fraud detection and credit risk assessment.
- Work with large-scale financial datasets to improve prediction accuracy and performance.
- Collaborate with data scientists and engineers to deploy ML models into production.
- Research and implement state-of-the-art algorithms to enhance decision-making capabilities.
- Ensure scalability, efficiency, and security of ML pipelines in a high-volume transaction environment.
- Stay updated with the latest advancements in AI and fintech to drive innovation.
Skill Set Required
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
- Familiarity with big data technologies (Spark, Hadoop) is a plus.
- Strong understanding of statistics, probability, and deep learning techniques.
- Experience with APIs and integrating ML models into production environments.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.