What You ll DoWork with cross-functional teams to gather and analyze data requirementsDevelop and implement machine learning models for structured dataPerform data pre-processing, feature engineering, and model selectionEvaluate and improve model performance using various metricsCollaborate with software engineers to integrate machine learning models into production systemsMonitor and maintain machine learning models in a production environmentKeep up-to-date with the latest advancements in machine learning and AIAuthor and publish the novelty of the works accomplished in peer reviewed journals and conferences.Knowledge, Skills & AbilitiesExperience in NLP and any of the deep learning frameworks such as TensorFlow, Keras, PyTorch, etcProficiency with modern statistical modeling (regression, boosting trees, random forests, etc.) including classification, regression, and clustering modelsStrong experience in Python and its libraries for data analysis and machine learning (such as NumPy, Pandas, Scikit-learn, etc.)Data Analysis Libraries: Pandas, PySpark, Numpy, MatplotlibAdvanced analytical skills, including time-series forecastingKnowledge of SQL and working with relational databasesStrong problem-solving and analytical skillsExcellent communication skills and the ability to work in a team environmentEducation and Work ExperienceBachelor's or Master's degree or Phd in Computer Science, Mathematics, or a related field3+ years of experience in building and deploying machine learning models for structured dataPlus to have Prior experience in working with synthetic dataResearch and publication experience











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