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