Responsibilities

• Design and deploy ML/NLP models (supervised/unsupervised) on large datasets.
• Work on key areas like Named Entity Recognition, Document Classification, Sentiment Analysis, OCR, and Topic Modeling.
• Collaborate with cross-functional teams to deliver enterprise-scale solutions.
• Utilize AI and Open-source models to solve complex business problems.
• Drive projects in an Agile environment with minimal supervision.

Required Skills

• 7+ years experience as a Data Scientist or related role.
• 5+ years Python programming for ML/NLP.
• Expertise in feature engineering, model selection, and ensemble methods.
• Experience with large-scale structured/unstructured data.
• 2+ years in developing enterprise-scale ML/NLP solutions.
• Strong communication and problem-solving skills.

Desired Skills

• Master’s degree in Computer Science or Data Science.
• Experience with OCR products and AI models.
• Highly proactive and able to work independently.

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