Application architect
Job Title : Data Scientist Type : Contract Location : Remote Job Summary We are looking for a Data Scientist with strong expertise in Natural Language Processing (NLP) to design, build, and deploy scalable ML/NLP solutions. The ideal candidate will work on unstructured text data to extract insights, build predictive models, and enhance business outcomes using advanced NLP and deep learning techniques. Key Responsibilities Design, develop, and deploy NLP models for text classification, sentiment analysis, topic modeling, NER, summarization, and search/recommendation use cases Preprocess and analyze large-scale unstructured text data from multiple sources Build and fine-tune ML/DL models using frameworks like TensorFlow, PyTorch, and Scikit-learn Implement and optimize transformer-based models (BERT, RoBERTa, GPT, LLaMA, etc.) Work with word embeddings such as Word2Vec, GloVe, FastText Collaborate with product, engineering, and business teams to translate requirements into data-driven solutions Evaluate model performance and continuously improve accuracy and efficiency Deploy models using APIs and integrate them into production systems Maintain documentation and ensure best practices in model development and versioning Required Skills & Qualifications Strong programming skills in Python Solid understanding of NLP concepts, ML algorithms, and statistical methods Hands-on experience with NLP libraries such as NLTK, SpaCy, Hugging Face Transformers Experience with Deep Learning for NLP Strong knowledge of data preprocessing, feature engineering, and model evaluation Experience working with structured and unstructured datasets Familiarity with SQL and NoSQL databases Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Good to Have Experience with LLMs and Generative AI application Knowledge of MLOps tools (MLflow, Docker, Kubernetes) Experience with cloud platforms (AWS, Azure, Google Cloud Platform) Exposure to real-time NLP systems and chatbots Research experience or published work in NLP/AI
For applications and inquiries, contact: [email protected]
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