About the role
Focus on building end-to-end Machine Learning models, addressing natural language processing (NLP) problems, and collaborating with cross-functional teams to develop data-driven solutions.
Responsibilities
- Build and deploy end-to-end ML models from data collection to production.
- Work on NLP problems such as text classification, sentiment analysis, and document processing.
- Perform data analysis, feature engineering, and model evaluation.
- Collaborate with cross-functional teams to develop data-driven solutions.
- Monitor and improve model performance.
Full description
Role Overview:
• We are looking for a Data Scientist with experience in building end-to-end Machine Learning models and working on NLP use cases. The candidate will be responsible for developing, training, and deploying ML models to solve business problems and generate insights.
Key Responsibilities:
• Build and deploy end-to-end ML models from data collection to production.
• Work on NLP problems such as text classification, sentiment analysis, and document processing.
• Perform data analysis, feature engineering, and model evaluation.
• Collaborate with cross-functional teams to develop data-driven solutions.
• Monitor and improve model performance.
Required Skills:
• Strong experience in Machine Learning and NLP
• Proficiency in Python
• Experience with Scikit-learn, TensorFlow, or PyTorch
• Knowledge of Pandas, NumPy, and SQL
• Understanding of model deployment and ML pipelines
Experience:
• 3–6 years in Data Science / Machine Learning roles.