Job Description – Junior Machine Learning Engineer (Retail Banking)
- Role: Junior Machine Learning Engineer
- Experience: 4–6 Years
- Openings: 20
- Domain: Retail Banking
Job Summary We are seeking a Junior Machine Learning Engineer with strong experience in Python, SQL, and Machine Learning techniques to develop, deploy, and maintain predictive models for Retail Banking applications. The ideal candidate should have hands-on experience in data preprocessing, regression and classification models, API integration, and a good understanding of banking business processes.
Key Responsibilities:
- Develop, train, and deploy Machine Learning models for Retail Banking use cases.
- Perform data collection, cleaning, preprocessing, and feature engineering.
- Build and optimize regression and classification models.
- Integrate ML solutions with applications through APIs.
- Analyze large datasets and generate actionable insights.
- Collaborate with business, data, and technology teams.
- Monitor model performance and implement improvements.
- Document model development processes and technical specifications.
Required Skills:
- Python Programming
- SQL & Database Management
- Machine Learning Libraries (Scikit-learn, TensorFlow, PyTorch)
- Data Preprocessing & Feature Engineering
- Regression & Classification Techniques
- API Integration & REST APIs
- Model Development & Deployment
- Retail Banking Domain Knowledge
- Data Analysis & Problem Solving
- Strong Communication Skills
Preferred Skills:
- Experience with Banking Analytics
- Model Monitoring & Performance Optimization
- Agile Methodology
- Cloud Platforms (AWS/Azure) – Added Advantage
Pay: ₹300,000.00 - ₹1,500,000.00 per year
Work Location: In person
