Machine Learning Engineer (Python)
Experience: 2 Years | Focus: Machine Learning & Python
Role Overview
We are seeking a Python Machine Learning Engineer with approximately 2 years of hands-on experience in developing, training, evaluating, and deploying machine learning models. The ideal candidate should have a strong foundation in classical machine learning, data preprocessing, feature engineering, statistical analysis, and production-oriented Python development.
Note: MLOps, advanced time-series/signal processing, and scientific-data experience are preferred but not mandatory for this role.
1. Core Machine Learning Development
• Develop and optimize machine learning models using Python and frameworks such as scikit-learn. Basic hands-on experience with deep learning frameworks such as PyTorch or TensorFlow is preferred.
• Apply supervised and unsupervised learning techniques to real-world problems.
• Valuable understanding of Regression, Classification, and Clustering algorithms. Understand model evaluation techniques such as cross-validation, ROC-AUC, Precision, Recall, and F1-score.




• Perform feature engineering, feature selection, data preprocessing, normalization, and scaling.
• Understand model training, validation, hyperparameter tuning, and performance optimization.
• Ability to analyze model results and identify opportunities for improvement.

2. Data Processing & Analysis
• Strong practical experience with Pandas and NumPy.
• Ability to clean, transform, analyze, and prepare raw datasets for machine learning.
• Experience working with structured datasets and building reusable data-processing workflows.
• Basic understanding of data quality, missing values, outliers, normalization, and feature preparation.
• Polars is optional.
• Experience with time-series data is optional/preferred.

3. Deep Learning & Advanced ML (Preferred)
• Basic practical understanding of neural networks and deep learning concepts.
• Hands-on experience with CNN, RNN, or LSTM is prefer

📌 Machine Learning Engineer (Ahmedabad)
🏢 Technostacks
📍 Ahmedabad