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Strong Tier-1 brand, mid-level generalist title, and metro location increase candidate competition.
Highly domain-specific NLP and GenAI requirements reduce cross-industry transferability.
Explicit 5+ years, mandatory NLP/GenAI domain experience, degree and specific tooling requirements make filters highly strict.
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Design, develop, and implement NLP algorithms and models for tasks like text classification, entity extraction, and summarization.
Collaborate with cross-functional teams to integrate NLP solutions into production AI systems.
Conduct model evaluation, validation, data analysis, visualization, and contribute to NLP/Gen AI research and innovation.
Master's or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or related field.
Minimum 5+ years experience as Data Scientist with NLP focus and at least 2 years in Generative AI.
Proficiency in Python or R, and NLP libraries like NLTK, spaCy, scikit-learn, TensorFlow/PyTorch.
Experience with containerization (Docker), orchestration (Kubernetes), and familiarity with ML-Ops and cloud platforms (AWS/Azure/GCP).
Experienced in deploying and scaling NLP models in production environments within cross-functional teams.
Strong background in deep learning architectures for NLP, including transformers (BERT, GPT).
Able to manage multiple projects and communicate complex results effectively to stakeholders.