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Durapid Technologies Private Limited
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Machine Learning Engineer

Machine Learning Engineer

Durapid Technologies Private Limited

4 years

14 - 18 Lacs

jaipur rajasthan india

Posted:6 days ago| Platform:

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Skills Required

learning ml data preprocessing design engineering metrics model debugging analysis code xgboost numpy evaluation sql tensorflow deployment flask fastapi aws gcp mlflow airflow statistics probability

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

We are looking for a

Machine Learning Engineer with strong experience in classification problems

to build, optimize, and deploy scalable ML models. The ideal candidate should have hands-on experience across the

end-to-end ML lifecycle

, from data preprocessing to production deployment.Key Responsibilities

Design, develop, and optimize classification models (binary & multi-class)
Perform data preprocessing, feature engineering, and feature selection
Train, evaluate, and tune ML models using appropriate metrics (Precision, Recall, F1, ROC-AUC)
Handle imbalanced datasets and apply relevant techniques
Deploy models into production and monitor performance
Collaborate with data engineers, product teams, and stakeholders
Perform model debugging, error analysis, and continuous improvement
Write clean, maintainable, and well-documented code

Required Skills & Qualifications

4+ years of hands-on experience in Machine Learning
Strong understanding of classification algorithms:

Logistic Regression
Decision Trees, Random Forest
XGBoost / LightGBM / CatBoost
SVM

Proficiency in Python
Strong experience with scikit-learn, NumPy, Pandas
Good understanding of ML evaluation metrics
Experience working with real-world noisy datasets
Knowledge of data leakage and model bias issues
Familiarity with SQL for data analysis
Strong problem-solving and analytical skills

Good to Have

Experience with Deep Learning frameworks (TensorFlow / PyTorch)
Exposure to ML deployment (Flask, FastAPI, Docker)
Experience with cloud platforms (AWS / GCP / Azure)
Knowledge of MLOps tools (MLflow, Airflow, Kubeflow)
Basic understanding of statistics and probability

Skills: data,models,datasets,classification,machine learning,ml,metrics,aws,skills,learning

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