Senior Data Scientist – NLP & Generative AI

Company Description ThreatXIntel is a dynamic cybersecurity startup focused on safeguarding businesses and organizations from diverse cyber threats. We specialize in offering tailored, cost-effective solutions in areas such as cloud security, web and mobile security testing, and DevSecOps. With a proactive approach, we continuously monitor and test digital environments to detect and address vulnerabilities. Committed to empowering businesses of all sizes, ThreatXIntel ensures access to top-notch cybersecurity services to protect digital assets and foster growth.

Role Description We are seeking a Senior Data Scientist specializing in NLP and Generative AI to design and build intelligent AI systems powered by modern machine learning and large language models. The ideal candidate will have strong experience in NLP, transformer-based architectures, vector search systems, and production deployment of AI models. This role combines deep technical expertise with a data-centric mindset and strong business understanding.

Key Responsibilities Design and develop NLP and Generative AI solutions using modern ML frameworks Build applications leveraging transformer models such as BERT, RoBERTa, GPT, and similar architectures Implement embedding pipelines and vector search solutions using FAISS, Milvus, Pinecone, or ANN libraries Develop similarity search and semantic retrieval systems using cosine similarity, clustering, and ranking techniques Perform exploratory data analysis (EDA), dataset curation, and feature engineering Develop ML pipelines using Python and data science libraries Work on text, image, and multimodal AI applications including Computer Vision and LLM/VLM use cases Deploy models using Docker and Kubernetes environments Perform debugging, optimization, and Docker error analysis for ML workloads Collaborate with business stakeholders to translate AI insights into practical solutions Stay updated with latest trends including GenAI and Agentic AI Required Technical Skills Machine Learning and NLP Strong knowledge of NLP and transformer-based models Experience with embeddings and vector search architectures Practical experience with LLMs, VLMs, Computer Vision, and multimodal AI Programming Strong Python programming skills Experience with NumPy, Pandas, Scikit-learn, Hugging Face Transformers Cloud and MLOps Experience with Azure or other cloud platforms Docker and Kubernetes deployment experience Version control using Git Data Science Foundations Strong EDA and data-centric AI development approach Business problem-solving mindset