The People Ready Staffing

Company Description The People Ready Staffing is a consulting firm specializing in both technical and non-technical recruitments. We provide manpower to organizations across various verticals. Our team of best-in-class Talent Acquisition Consultants delivers fast, quality, and cost-effective end-to-end manpower solutions for our clients. Role Description As a Senior Data Scientist specializing in NLP and ML, you will lead the design, development, and optimization of advanced AI applications, with a special focus on NLP and LLMs. You’ll tackle diverse NLP use cases, contribute to ML models for credit scoring and risk assessment, and drive research and innovation in large-scale transformer models. Key Responsibilities: •NLP & LLM Model Development: Build, fine-tune, and deploy advanced NLP models—including text classification, document analysis, entity recognition, and sentiment analysis—leveraging state-of-the-art architectures (BERT, GPT, Llama, etc.). •LLM Research & Customization: Explore, adapt, and optimize pre-trained LLMs (e.g., OpenAI, Hugging Face, Llama). •Credit & Risk Analytics: Develop, refine, and evaluate ML models for credit scoring, scorecard generation, and risk analytics. •Data Exploration & Processing: Analyze and preprocess large amounts of unstructured text using tokenization, language normalization, embeddings, and vectorization. •Deployment & Integration: Collaborate with engineering/product teams to integrate NLP/ML/LLM solutions into real-world products, ensuring scalability and reliability. •Continuous Innovation: Stay current on advances in NLP, ML, and generative AI, proactively translating research breakthroughs into practical applications. •Mentorship & Collaboration: Guide junior team members and collaborate across data, product, and engineering groups. Required Skills & Experience: •Work Experience: 3–4 years as a data scientist, NLP engineer, or ML specialist with hands-on experience in NLP and LLMs. •NLP & Deep Learning: Proven expertise in NLP tasks (text classification, entity recognition, semantic analysis) and deep learning, especially with transformer architectures. •Large Language Models: Experience working with, training, and deploying LLMs (GPT, Llama, BERT, etc.). •ML Frameworks: Advanced skills in Python with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and Keras. •Tooling: Experienced with libraries (NLTK, spaCy, scikit-learn, NumPy, pandas, OpenAI API). •Database & API Integration: Proficient with SQL/NoSQL databases and RESTful API development/integration. •Problem Solver: Strong analytical, debugging, and creative solution skills for real-world ML/NLP challenges. •Regular Expressions: Hands-on expertise with text processing using regex. Preferred Qualifications: •Education: BE/BTech/ME/MTech/MCA in Computer Science or related field (minimum 4-year degree). •Continuous Learner: Genuine interest in ongoing research and upskilling in AI, ML, GenAI, and computer vision. •Bonus Skills: Familiarity with computer vision and multimodal models.