Infosys - Senior Data Scientist - NLP/LLM

Description :

Key Responsibilities :

- Design, develop, and deploy scalable AI/ML solutions using Large Language Models (LLMs) and Generative AI frameworks

- Build and optimize NLP pipelines for text classification, summarization, semantic search, question-answering, chatbot systems, and document intelligence

- Fine-tune and customize open-source and proprietary LLMs for domain-specific use cases

- Develop Retrieval-Augmented Generation (RAG) architectures and vector database solutions

- Implement prompt engineering strategies and evaluate model performance for accuracy, latency, and scalability

- Work on transformer-based architectures including GPT, Llama, Mistral, BERT, Falcon, Claude, and similar models

- Build end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring

- Collaborate with cross-functional teams including Product, Engineering, Data Engineering, and Business stakeholders

- Lead AI research initiatives and evaluate emerging Generative AI technologies and frameworks

- Drive MLOps best practices for model deployment, monitoring, governance, and lifecycle management

- Ensure AI solutions comply with data privacy, security, and responsible AI standards

- Mentor junior data scientists and provide technical leadership across AI initiatives

- Participate in architecture discussions and contribute to enterprise AI strategy and roadmap

Required Skills & Qualifications :

Educational Qualification :

- Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence,

Mathematics, Statistics, or related field

- PhD is a plus

Technical Skills :

Programming & Data Science :

- Strong expertise in Python and advanced data science libraries

- Hands-on experience with NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras

- Strong understanding of statistics, probability, linear algebra, and machine learning

algorithms

Generative AI & LLM Technologies :

- Extensive experience with LLMs and transformer architectures

- Hands-on expertise with OpenAI, Hugging Face, LangChain, LlamaIndex, Anthropic, Azure

OpenAI, or Vertex AI

- Experience in prompt engineering, fine-tuning, PEFT, LoRA, RLHF, and model optimization

- Strong knowledge of RAG pipelines and vector databases such as Pinecone, Weaviate,

ChromaDB, FAISS, or Milvus

- Experience with embedding models and semantic search systems

NLP & Deep Learning :

- Expertise in Natural Language Processing (NLP) techniques

- Experience in text analytics, sentiment analysis, NER, topic modeling, and conversational AI

- Strong understanding of deep learning architectures and transformer models

Cloud & MLOps :

- Experience with AWS, Azure, or GCP AI/ML services

- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and model deployment

- Knowledge of MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML

- Experience in scalable distributed computing environments

Databases & Big Data :

- Strong SQL knowledge and experience with structured/unstructured data

- Experience with Spark, Hadoop, or distributed data processing frameworks

- Familiarity with NoSQL databases and data lake architectures

Preferred Skills :

- Experience in enterprise AI transformation initiatives

- Knowledge of responsible AI, explainable AI, and AI governance

- Exposure to multi-modal AI systems including image, text, and speech models

- Experience in AI agents and autonomous workflows

- Research publications or contributions in AI/ML domain preferred

- Strong problem-solving and analytical thinking skills