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Junior Machine Learning Engineer

Pravi HR Advisory
4 - 6 Years
Chennai

Posted on: 20/05/2026

Job Description

Job Title : Junior Machine Learning Engineer


Location : Chennai


Experience : 4 to 6 Years


Employment Type : Full Time


About the Role :


We are looking for a Junior Machine Learning Engineer with strong skills in Python and SQL, along with hands-on exposure to Machine Learning concepts and model development. The candidate will work closely with business and technology teams to develop analytical and ML-driven solutions for banking and retail banking use cases.


Key Responsibilities :


- Develop, test, and deploy Machine Learning models for business use cases


- Perform data cleaning, preprocessing, transformation, and feature engineering


- Work on Regression and Classification models using structured datasets


- Build and optimize SQL queries for data extraction and analysis


- Integrate ML models and external systems using APIs


- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions


- Monitor model performance and improve model accuracy over time


- Work with large datasets and ensure data quality and consistency


- Prepare reports, dashboards, and documentation for stakeholders


Required Skills :


- Strong programming skills in Python


- Good hands-on experience with SQL


- Familiarity with ML libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or similar


- Understanding of Machine Learning concepts including :


i. Regression


ii. Classification


iii. Model evaluation techniques


- Experience in Data Preprocessing and Feature Engineering


- Knowledge of API Integration and handling data pipelines


- Basic understanding of Retail Banking domain and banking datasets


- Good problem-solving and analytical skills


Preferred Skills :


- Exposure to cloud platforms or ML deployment is an added advantage


- Experience working with dashboards or visualization tools is preferred


- Understanding of banking products, customer analytics, or risk models will be beneficial


Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or related field


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