01Requirements
Minimum of 2-3 years of experience in data science or a related field, with a focus on NLP.
Proficiency in Python, with expertise in NLP libraries such as NLTK, spaCy, Transformers, and familiarity with deep learning frameworks like TensorFlow or PyTorch.
Hands-on experience in developing and deploying NLP models, including language models (e.g., BERT, GPT), sentiment analysis, and named entity recognition.
Knowledge of speech-to-text technologies and frameworks.
Master's or MTech degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field.
Certification in data science or machine learning is a plus.
Strong problem-solving and analytical skills.
Excellent communication and presentation abilities.
Responsibilities
Lead the development and implementation of NLP models for various projects, including sentiment analysis, entity recognition, and language modeling.
Collaborate with cross-functional teams to understand project requirements and objectives.
Stay updated with the latest advancements in NLP and related technologies, and explore opportunities for their application in our projects.
Work closely with data engineers to ensure seamless integration and processing of NLP data.
Contribute to the design and architecture of NLP solutions, considering scalability and performance requirements.
If you are passionate about NLP and have a keen interest in leveraging cutting-edge technologies to solve real-world problems, we encourage you to apply for this position. Join us in shaping the future of NLP and AI-driven innovation. .
