Data Scientist/Machine Learning Engineer - NLP/PySpark

Key Responsibilities

• Design, develop, and deploy machine learning and NLP models for client-focused business use cases.
• Write efficient, scalable code using Python (Pandas, NumPy, etc.) and SQL for data manipulation and analysis.
• Collaborate with stakeholders to understand requirements, define project scope, and deliver high-impact solutions.
• Perform data wrangling, exploration, and feature engineering to support model development.
• Evaluate model performance and fine-tune for optimal accuracy and efficiency.
• Document models, processes, and performance metrics to ensure transparency and reproducibility.
• Work with cloud platforms (optional/good to have) for scalable model deployment and data Skills :
• 35 years of experience with Python programming (strong in Pandas, data manipulation, etc.
• 2+ years of experience in SQL for data extraction and management.
• Experience in building and implementing ML and NLP models.
• Understanding of common machine learning and deep learning algorithms.
• Strong foundation in data science principles, statistical modeling, and to Have :
• Experience in PySpark for large-scale data processing.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with end-to-end model development and deployment pipelines