We are seeking a highly skilled Senior Data Scientist with expertise in Natural Language Processing (NLP) to join our team. The ideal candidate will have at least 5 years of experience in data science, with a minimum of 2 years specializing in NLP. You will work on various aspects of data science, including machine learning, deep learning, leading an independent research to build and optimize NLP-driven solutions.

We are looking for a self-starter who is passionate about solving complex problems, able to drive research initiatives, and thrives in a collaborative team environment.

Key Responsibilities:

• Develop and optimize NLP models for tasks such as text classification, named entity recognition (NER), sentiment analysis,document summarization and others.
• Work with large-scale datasets to extract insights and enhance language models.
• Design and implement machine learning pipelines, ensuring scalability and efficiency.
• Fine-tune pretrained models (BERT, GPT, T5, etc.) for domain-specific tasks.
• Apply different techniques for text preprocessing such as noun chunk extraction, sentence parsing, segmentation, and tokenization in NLP pipelines.
• Conduct deep research on state-of-the-art NLP techniques and integrate innovative methodologies into solutions.
• Deploy and optimize models on cloud platforms like AWS.
• Collaborate with researchers, engineers, and business stakeholders to drive data-driven decision-making.

Required Qualifications:

• 5+ years of experience in Data Science, with at least 2 years in NLP.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, NumPy, Pandas, SpaCy.
• Experience working with AWS or other cloud providers.
• Hands-on experience with machine learning algorithms, including supervised and unsupervised learning.
• Deep understanding of research methodologies and the ability to implement novel approaches.
• Strong analytical and problem-solving skills.
• Ability to work independently and in a collaborative, team-oriented environment.

Preferred Qualifications:

• Experience with LLMs (Large Language Models) and prompt engineering.
• Understanding of semantic search, knowledge graphs, or information retrieval.
• Familiarity with vector search for efficient similarity searches.
• Experience with MongoDB for handling unstructured and semi-structured data.
• Experience with MLOps tools for CI/CD and model monitoring.
• Strong publication record or contributions to NLP research communities.

What We Offer

• Flexible work environment.
• Opportunities for deep research, innovation, and professional development.
• Access to cutting-edge technology and resources.