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Lead Data Scientist NLP
3 months ago
Roles and Responsibilities:
• Lead and mentor a team of data scientists and NLP specialists.
• Manage multiple NLP projects from conception to deployment.
• Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver solutions.
• Ensure timely delivery of projects while maintaining high-quality standards.
• Design, develop, and optimize NLP models for various applications such as text classification, sentiment analysis, entity recognition, and chatbots.
• Conduct experiments, perform A/B testing, and refine models based on feedback and performance metrics.
• Develop pipelines for data extraction, transformation, and loading (ETL) specific to NLP tasks.
• Work closely with engineering teams to integrate NLP solutions into products.
• Strong leadership and project management abilities.
• Effective communication and interpersonal skills.
Skills Required
• Proficiency in Python programming languages & SQL
• Text Preprocessing techniques, Text representation methods including BoW, TF-IDF, Word embeddings, (Word2Vec, Glove) and contextual embeddings (BERT, GPT)
• Advanced NLP tasks such as NER, sentiment analysis, topic modeling and machine translation, Speech to text and Text to Speech
• Experience with NLP frameworks and libraries (SpaCy, NLTK, Hugging Face, Transformers and Genism)
• Deep learning architectures such as Convolution Neural networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory networks (LSTMs) and Transformer Models.
• Framework for deep learning such as TensorFlow, PyTorch and Keras.
• Proficiency in working with Large Pre trained language models (LLMs) such as BERT, GPT-3, T5 and other transformer-based models.
• Fine tuning pre-trained models for specific NLP tasks and domains.
• Experience with Cloud Platforms (AWS, Azure and GCP), and Containerization technologies such as Docker.
• Knowledge of RESTful API and microservice architecture for deploying NLP models.
• Experience in the BFSI indus
Requirements
Professional & Technical Skills: - Must To Have Skills: Strong experience in ServiceNow development. - Good To Have Skills: Experience with ITIL processes and ServiceNow certifications. - Solid understanding of ServiceNow platform architecture and development best practices. - Experience with ServiceNow modules such as Incident Management, Change Management, and Service Catalog. - Strong problem-solving and analytical skills. Additional Information: - The candidate should have a minimum of 3 years of experience in ServiceNow development. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful ServiceNow solutions.