Data Scientist

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.