As a Machine Learning Engineer / Data Scientist at Portalwiz Technologies, you will play a crucial role in developing and deploying machine learning models for prediction, classification, and forecasting. Your expertise in data analysis, statistical modeling, and machine learning will be essential in working on end-to-end data science workflows to deliver actionable business insights. **Key Responsibilities:**- Develop and deploy machine learning models for prediction, classification, and forecasting- Perform Exploratory Data Analysis (EDA) to identify trends and patterns- Clean, preprocess, and transform large datasets- Perform feature engineering and feature selection- Build and optimize models for regression, classification, and forecasting- Evaluate model performance using appropriate metrics and improve accuracy- Create data visualizations and dashboards to communicate insights- Collaborate with stakeholders to solve business problems- Build scalable and reusable ML pipelines- Utilize Linear & Logistic Regression, KNN, SVM for model development**Qualifications Required:**- Strong background in Data Science & Analytics- Proficiency in Statistics & Probability- Experience with Hypothesis Testing & A/B Testing- Ability in data interpretation & storytelling- Proficient in Python (Pandas, NumPy, Scikit-learn) and SQL- Knowledge of Regression: RMSE, MAE and Classification: Accuracy, Precision, Recall, F1-score- Familiarity with NLP / Computer Vision- End-to-end ML lifecycle experience- Exposure to TensorFlow / PyTorch, Power BI / Tableau, GitImmediate joiners (within 1 week) are preferred for this role at Portalwiz Technologies.



As a Machine Learning Engineer / Data Scientist at Portalwiz Technologies, you will play a crucial role in developing and deploying machine learning models for prediction, classification, and forecasting. Your expertise in data analysis, statistical modeling, and machine learning will be essential in working on end-to-end data science workflows to deliver actionable business insights. **Key Responsibilities:**- Develop and deploy machine learning models for prediction, classification, and forecasting- Perform Exploratory Data Analysis (EDA) to identify trends and patterns- Clean, preprocess, and transform large datasets- Perform feature engineering and feature selection- Build and optimize models for regression, classification, and forecasting- Evaluate model performance using appropriate metrics and improve accuracy- Create data visualizations and dashboards to communicate insights- Collaborate with stakeholders to solve business problems- Build scalable and reusable ML pipelines- Utilize Linear & Logistic Regression, KNN, SVM for model development**Qualifications Required:**- Robust background in Data Science & Analytics- Proficiency in Statistics & Probability- Experience with Hypothesis Testing & A/B Testing- Ability in data interpretation & storytelling- Proficient in Python (Pandas, NumPy, Scikit-learn) and SQL- Knowledge of Regression: RMSE, MAE and Classification: Accuracy, Precision, Recall, F1-score- Familiarity with NLP / Computer Vision- End-to-end ML lifecycle experience- Exposure to TensorFlow / PyTorch, Power BI / Tableau, GitImmediate joiners (within 1 week) are preferred for this role at Portalwiz Technologies.

📌 Machine Learning Engineer / Data Scientist (India)
🏢 Portalwiz Technologies - Pune
📍 India