Hiring Junior Machine Learning Engineer

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